Información del autor
Autor Mohammadi-Ivatloo, Behnam |
Documentos disponibles escritos por este autor (11)
Crear una solicitud de compra Refinar búsquedaApplication of Machine Learning and Deep Learning Methods to Power System Problems / Nazari-Heris, Morteza ; Asadi, Somayeh ; Mohammadi-Ivatloo, Behnam ; Abdar, Moloud ; Jebelli, Houtan ; Sadat-Mohammadi, Milad
TÃtulo : Application of Machine Learning and Deep Learning Methods to Power System Problems Tipo de documento: documento electrónico Autores: Nazari-Heris, Morteza, ; Asadi, Somayeh, ; Mohammadi-Ivatloo, Behnam, ; Abdar, Moloud, ; Jebelli, Houtan, ; Sadat-Mohammadi, Milad, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: IX, 391 p. 120 ilustraciones ISBN/ISSN/DL: 978-3-030-77696-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Distribución de energÃa eléctrica Electric power production Aprendizaje automático La polÃtica energética EnergÃa y estado Redes y redes energéticas IngenierÃa de EnergÃa Eléctrica PolÃtica EconomÃa y Gestión Energética Clasificación: 321.319 Resumen: Este libro evalúa el papel del aprendizaje automático innovador y los métodos de aprendizaje profundo para abordar los problemas de los sistemas de energÃa, concentrándose en desarrollos y avances recientes que mejoran la planificación, la operación y el control de los sistemas de energÃa. Los estudios de casos de vanguardia de todo el mundo consideran la predicción, la clasificación, la agrupación y la detección de fallas/eventos en sistemas de energÃa, proporcionando soluciones efectivas y prometedoras para muchos desafÃos novedosos que enfrentan los operadores de sistemas de energÃa. Escrito por destacados expertos, el libro será un recurso ideal para investigadores e ingenieros que trabajan en las comunidades de ingenierÃa de energÃa eléctrica y planificación de sistemas de energÃa, asà como para estudiantes de cursos avanzados de posgrado. Ofrece métodos innovadores de aprendizaje automático y aprendizaje profundo para abordar problemas del sistema de energÃa; Proporciona metodologÃas de solución prometedoras; Cubre antecedentes teóricos y análisis experimentales. Nota de contenido: Chapter 1. Power System Challenges and Issues -- Chapter 2. Introduction and literature review of power system challenges and issues -- Chapter 3. Machine learning and power system planning: opportunities, and challenges -- Chapter 4. Introduction to Machine Learning Methods in Energy Engineering -- Chapter 5. Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Control Problems of Power Systems -- Chapter 6. Introduction and literature review of the application of machine learning/deep learning to load forecasting in power system -- Chapter 7. A Survey of Recent particle swarm optimization (PSO)-Based Clustering Approaches to Energy Efficiency in Wireless Sensor Networks -- Chapter 8. Clustering in Power Systems Using Innovative Machine Learning/Deep Learning Methods -- Chapter 9. Voltage stability assessment in power grids using novel machine learning-based methods -- Chapter 10. Evaluation and Classification of cascading failure occurrence potential dueto line outage -- Chapter 11. LSTM-Assisted Heating Energy Demand Management in Residential Buildings -- Chapter 12. Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques -- Chapter 13. Effective Load Pattern Classification by Processing the Smart Meter Data Based on Event-Driven Processing and Machine Learning -- Chapter 14. Prediction of Out-of-step Condition for Synchronous Generators Using Decision Tree Based on the Dynamic data by WAMS/PMU -- Chapter 15. The adaptive neuro-fuzzy inference system model for short-term load, price and topology forecasting of distribution system -- Chapter 16. Application of Machine Learning for Predicting User Preferences in Optimal Scheduling of Smart Appliances -- Chapter 17. Machine Learning Approaches in a Real Power System and Power Markets. Tipo de medio : Computadora Summary : This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses. Offers innovative machine learning and deep learning methods for dealing with power system issues; Provides promising solution methodologies; Covers theoretical background and experimental analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Application of Machine Learning and Deep Learning Methods to Power System Problems [documento electrónico] / Nazari-Heris, Morteza, ; Asadi, Somayeh, ; Mohammadi-Ivatloo, Behnam, ; Abdar, Moloud, ; Jebelli, Houtan, ; Sadat-Mohammadi, Milad, . - 1 ed. . - [s.l.] : Springer, 2021 . - IX, 391 p. 120 ilustraciones.
ISBN : 978-3-030-77696-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Distribución de energÃa eléctrica Electric power production Aprendizaje automático La polÃtica energética EnergÃa y estado Redes y redes energéticas IngenierÃa de EnergÃa Eléctrica PolÃtica EconomÃa y Gestión Energética Clasificación: 321.319 Resumen: Este libro evalúa el papel del aprendizaje automático innovador y los métodos de aprendizaje profundo para abordar los problemas de los sistemas de energÃa, concentrándose en desarrollos y avances recientes que mejoran la planificación, la operación y el control de los sistemas de energÃa. Los estudios de casos de vanguardia de todo el mundo consideran la predicción, la clasificación, la agrupación y la detección de fallas/eventos en sistemas de energÃa, proporcionando soluciones efectivas y prometedoras para muchos desafÃos novedosos que enfrentan los operadores de sistemas de energÃa. Escrito por destacados expertos, el libro será un recurso ideal para investigadores e ingenieros que trabajan en las comunidades de ingenierÃa de energÃa eléctrica y planificación de sistemas de energÃa, asà como para estudiantes de cursos avanzados de posgrado. Ofrece métodos innovadores de aprendizaje automático y aprendizaje profundo para abordar problemas del sistema de energÃa; Proporciona metodologÃas de solución prometedoras; Cubre antecedentes teóricos y análisis experimentales. Nota de contenido: Chapter 1. Power System Challenges and Issues -- Chapter 2. Introduction and literature review of power system challenges and issues -- Chapter 3. Machine learning and power system planning: opportunities, and challenges -- Chapter 4. Introduction to Machine Learning Methods in Energy Engineering -- Chapter 5. Introduction and Literature Review of the Application of Machine Learning/Deep Learning to Control Problems of Power Systems -- Chapter 6. Introduction and literature review of the application of machine learning/deep learning to load forecasting in power system -- Chapter 7. A Survey of Recent particle swarm optimization (PSO)-Based Clustering Approaches to Energy Efficiency in Wireless Sensor Networks -- Chapter 8. Clustering in Power Systems Using Innovative Machine Learning/Deep Learning Methods -- Chapter 9. Voltage stability assessment in power grids using novel machine learning-based methods -- Chapter 10. Evaluation and Classification of cascading failure occurrence potential dueto line outage -- Chapter 11. LSTM-Assisted Heating Energy Demand Management in Residential Buildings -- Chapter 12. Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques -- Chapter 13. Effective Load Pattern Classification by Processing the Smart Meter Data Based on Event-Driven Processing and Machine Learning -- Chapter 14. Prediction of Out-of-step Condition for Synchronous Generators Using Decision Tree Based on the Dynamic data by WAMS/PMU -- Chapter 15. The adaptive neuro-fuzzy inference system model for short-term load, price and topology forecasting of distribution system -- Chapter 16. Application of Machine Learning for Predicting User Preferences in Optimal Scheduling of Smart Appliances -- Chapter 17. Machine Learning Approaches in a Real Power System and Power Markets. Tipo de medio : Computadora Summary : This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses. Offers innovative machine learning and deep learning methods for dealing with power system issues; Provides promising solution methodologies; Covers theoretical background and experimental analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Electric Vehicles in Energy Systems : Modelling, Integration, Analysis, and Optimization Tipo de documento: documento electrónico Autores: Ahmadian, Ali, ; Mohammadi-Ivatloo, Behnam, ; Elkamel, Ali, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: VIII, 392 p. 186 ilustraciones, 141 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-34448-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa de Transporte IngenierÃa de tráfico Fuentes de energÃa renovable Electric power production TecnologÃa del Transporte e IngenierÃa de Tráfico EnergÃa renovable IngenierÃa de EnergÃa Eléctrica IngenierÃa Mecánica Energética Clasificación: 629.04 Resumen: Este libro analiza los aspectos técnicos, económicos y ambientales de los vehÃculos eléctricos y su impacto en las redes eléctricas y los sistemas energéticos. El libro se divide en tres partes que incluyen modelado de carga, integración y optimización, y evaluación ambiental. Cada sección viene acompañada de antecedentes teóricos y ejemplos prácticos, y los autores incluyen consejos y sugerencias útiles en las secciones de optimización y modelado de carga. Este libro pretende ser una herramienta útil para estudiantes de pregrado y posgrado, investigadores e ingenieros que intentan resolver problemas de energÃa e ingenierÃa relacionados con los vehÃculos eléctricos. Proporciona técnicas de optimización y sus aplicaciones para sistemas energéticos; Analiza las perspectivas económicas y ambientales de los vehÃculos eléctricos; Contiene la información más completa sobre vehÃculos eléctricos en una única fuente. Nota de contenido: Deterministic load demand modeling of electric vehicles -- Probabilistic load demand modeling of electric vehicles -- Possibilistic load demand modeling of electric vehicles -- Hybrid probalistic-possibilistic load demand modeling of electric vehicles -- Integration of electric vehicles and solar energy in power systems -- Integration of electric vehicles and wind energy in power systems -- Integration of electric vehicles, energy storage and renewable energies in power systems -- Participation of aggregated electric vehicles in demand response programs -- Impact of electric vehicles on voltage control of distribution systems -- Participation of aggregated electric vehicles in demand response programs -- Impact of electric vehicles on voltage control of distribution systems -- Participation of aggregated electric vehicles in frequency control of power systems -- Modeling and impact analysis of battery degradation on V2G programs.-Evaluation of electric vehicles impact on emission pollution reduction -- Evaluation of fuel cell vehicles impact on emission pollution reduction -- Life cycle assessment of electric and fuel cell vehicles -- Cost-effective analysis of electric and fuel cell vehicles in carbon constrained world -- Environmental analysis of electric vehicle batteries. Tipo de medio : Computadora Summary : This book discusses the technical, economic, and environmental aspects of electric vehicles and their impact on electrical grids and energy systems. The book is divided into three parts that include load modeling, integration and optimization, and environmental evaluation. Theoretical background and practical examples accompany each section and the authors include helpful tips and hints in the load modeling and optimization sections. This book is intended to be a useful tool for undergraduate and graduate students, researchers and engineers who are trying to solve power and engineering problems related electric vehicles. Provides optimization techniques and their applications for energy systems; Discusses the economic and environmental perspectives of electric vehicles; Contains the most comprehensive information about electric vehicles in a single source. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Electric Vehicles in Energy Systems : Modelling, Integration, Analysis, and Optimization [documento electrónico] / Ahmadian, Ali, ; Mohammadi-Ivatloo, Behnam, ; Elkamel, Ali, . - 1 ed. . - [s.l.] : Springer, 2020 . - VIII, 392 p. 186 ilustraciones, 141 ilustraciones en color.
ISBN : 978-3-030-34448-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa de Transporte IngenierÃa de tráfico Fuentes de energÃa renovable Electric power production TecnologÃa del Transporte e IngenierÃa de Tráfico EnergÃa renovable IngenierÃa de EnergÃa Eléctrica IngenierÃa Mecánica Energética Clasificación: 629.04 Resumen: Este libro analiza los aspectos técnicos, económicos y ambientales de los vehÃculos eléctricos y su impacto en las redes eléctricas y los sistemas energéticos. El libro se divide en tres partes que incluyen modelado de carga, integración y optimización, y evaluación ambiental. Cada sección viene acompañada de antecedentes teóricos y ejemplos prácticos, y los autores incluyen consejos y sugerencias útiles en las secciones de optimización y modelado de carga. Este libro pretende ser una herramienta útil para estudiantes de pregrado y posgrado, investigadores e ingenieros que intentan resolver problemas de energÃa e ingenierÃa relacionados con los vehÃculos eléctricos. Proporciona técnicas de optimización y sus aplicaciones para sistemas energéticos; Analiza las perspectivas económicas y ambientales de los vehÃculos eléctricos; Contiene la información más completa sobre vehÃculos eléctricos en una única fuente. Nota de contenido: Deterministic load demand modeling of electric vehicles -- Probabilistic load demand modeling of electric vehicles -- Possibilistic load demand modeling of electric vehicles -- Hybrid probalistic-possibilistic load demand modeling of electric vehicles -- Integration of electric vehicles and solar energy in power systems -- Integration of electric vehicles and wind energy in power systems -- Integration of electric vehicles, energy storage and renewable energies in power systems -- Participation of aggregated electric vehicles in demand response programs -- Impact of electric vehicles on voltage control of distribution systems -- Participation of aggregated electric vehicles in demand response programs -- Impact of electric vehicles on voltage control of distribution systems -- Participation of aggregated electric vehicles in frequency control of power systems -- Modeling and impact analysis of battery degradation on V2G programs.-Evaluation of electric vehicles impact on emission pollution reduction -- Evaluation of fuel cell vehicles impact on emission pollution reduction -- Life cycle assessment of electric and fuel cell vehicles -- Cost-effective analysis of electric and fuel cell vehicles in carbon constrained world -- Environmental analysis of electric vehicle batteries. Tipo de medio : Computadora Summary : This book discusses the technical, economic, and environmental aspects of electric vehicles and their impact on electrical grids and energy systems. The book is divided into three parts that include load modeling, integration and optimization, and environmental evaluation. Theoretical background and practical examples accompany each section and the authors include helpful tips and hints in the load modeling and optimization sections. This book is intended to be a useful tool for undergraduate and graduate students, researchers and engineers who are trying to solve power and engineering problems related electric vehicles. Provides optimization techniques and their applications for energy systems; Discusses the economic and environmental perspectives of electric vehicles; Contains the most comprehensive information about electric vehicles in a single source. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Food-Energy-Water Nexus Resilience and Sustainable Development : Decision-Making Methods, Planning, and Trade-Off Analysis Tipo de documento: documento electrónico Autores: Asadi, Somayeh, ; Mohammadi-Ivatloo, Behnam, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: X, 358 p. 136 ilustraciones, 120 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-40052-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Fuentes de energÃa renovable Agua HidrologÃa Agricultura Sostenibilidad Arquitectura sostenible La polÃtica energética EnergÃa y estado EnergÃa renovable Arquitectura Sostenible/Edificios Verdes PolÃtica EconomÃa y Gestión Energética Clasificación: 621.042 Resumen: Este libro presenta a los lectores un enfoque de modelado integrado para analizar y comprender la interconexión del agua, la energÃa y los recursos alimentarios y analiza la relación entre la resiliencia y la sostenibilidad del sistema alimentos-energÃa-agua (FEW). Los autores proporcionan marcos, modelos y algoritmos novedosos diseñados para equilibrar los aspectos teóricos y aplicativos de cada capÃtulo. El libro cubre un enfoque de modelado integrado para POCOS sistemas junto con métodos, códigos y herramientas de planificación desarrollados para diseñar sistemas interdependientes de energÃa, agua y alimentos. Los capÃtulos en profundidad analizan el impacto de los recursos de energÃa renovable en los sistemas POCOS, el diseño y operación sostenibles, los edificios de energÃa neta cero y los desafÃos y oportunidades del nexo POCOS en el desarrollo sostenible de diferentes paÃses. Este libro es útil para estudiantes de posgrado, investigadores e ingenieros que buscan comprender cómo POCOS sistemas sostenibles contribuyen a la resiliencia de estos sistemas y ayudan a los responsables de polÃticas y diseño a asignar y priorizar recursos de manera integrada en los sectores de alimentos, energÃa y agua. Un enfoque de modelado integrado para analizar y comprender la interconexión de los recursos hÃdricos, energéticos y alimentarios. Contiene marcos, modelos y algoritmos novedosos. Incluye estudios de casos para mejorar las aplicaciones prácticas. Nota de contenido: Introduction to FEW nexus -- Resiliency and sustainability definition in FEW systems -- Planning of interdependent energy, water and food systems -- Decision-making tools for optimal operation of FEW systems -- Modeling of EW and FEW systems -- Sustainable design of EW and FEW systems -- Impact of renewable energy resources in EW and FEW systems -- Renewable energy based water desalination systems -- Net zero energy buildings: design and operation -- Net zero water and waste buildings: design and operation -- Renewable energy systems for agriculture applications -- Security interactions of food, water and energy systems -- Challenges and opportunities of FEW nexus in the sustainable development of different countries -- Impact of FEW nexus perspectives on managing agricultural droughts -- An integrated modeling approach for FEW nexus management. Tipo de medio : Computadora Summary : This book presents readers with an integrated modeling approach for analyzing and understanding the interconnection of water, energy, and food resources and discusses the relationship between resilience and sustainability of the food- energy –water (FEW) system. Authors provide novel frameworks, models, and algorithms designed to balance the theoretical and applicative aspects of each chapter. The book covers an integrated modeling approach for FEW systems along with developed methods, codes, and planning tools for designing interdependent energy, water and food systems. In-depth chapters discuss the impact of renewable energy resources in FEW systems, sustainable design and operation, net zero energy buildings, and challenges and opportunities of the FEW nexus in the sustainable development of different countries. This book is useful for graduate students, researchers, and engineers seeking to understand how sustainable FEW systems contribute to the resilience of these systems and help policy and design makers allocate and prioritize resources in an integrated manner across the food, energy, and water sectors. An integrated modeling approach for analyzing and understanding the interconnection of water, energy, and food resources. Contains novel frameworks, models, and algorithms. Includes case studies to enhance practical applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Food-Energy-Water Nexus Resilience and Sustainable Development : Decision-Making Methods, Planning, and Trade-Off Analysis [documento electrónico] / Asadi, Somayeh, ; Mohammadi-Ivatloo, Behnam, . - 1 ed. . - [s.l.] : Springer, 2020 . - X, 358 p. 136 ilustraciones, 120 ilustraciones en color.
ISBN : 978-3-030-40052-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Fuentes de energÃa renovable Agua HidrologÃa Agricultura Sostenibilidad Arquitectura sostenible La polÃtica energética EnergÃa y estado EnergÃa renovable Arquitectura Sostenible/Edificios Verdes PolÃtica EconomÃa y Gestión Energética Clasificación: 621.042 Resumen: Este libro presenta a los lectores un enfoque de modelado integrado para analizar y comprender la interconexión del agua, la energÃa y los recursos alimentarios y analiza la relación entre la resiliencia y la sostenibilidad del sistema alimentos-energÃa-agua (FEW). Los autores proporcionan marcos, modelos y algoritmos novedosos diseñados para equilibrar los aspectos teóricos y aplicativos de cada capÃtulo. El libro cubre un enfoque de modelado integrado para POCOS sistemas junto con métodos, códigos y herramientas de planificación desarrollados para diseñar sistemas interdependientes de energÃa, agua y alimentos. Los capÃtulos en profundidad analizan el impacto de los recursos de energÃa renovable en los sistemas POCOS, el diseño y operación sostenibles, los edificios de energÃa neta cero y los desafÃos y oportunidades del nexo POCOS en el desarrollo sostenible de diferentes paÃses. Este libro es útil para estudiantes de posgrado, investigadores e ingenieros que buscan comprender cómo POCOS sistemas sostenibles contribuyen a la resiliencia de estos sistemas y ayudan a los responsables de polÃticas y diseño a asignar y priorizar recursos de manera integrada en los sectores de alimentos, energÃa y agua. Un enfoque de modelado integrado para analizar y comprender la interconexión de los recursos hÃdricos, energéticos y alimentarios. Contiene marcos, modelos y algoritmos novedosos. Incluye estudios de casos para mejorar las aplicaciones prácticas. Nota de contenido: Introduction to FEW nexus -- Resiliency and sustainability definition in FEW systems -- Planning of interdependent energy, water and food systems -- Decision-making tools for optimal operation of FEW systems -- Modeling of EW and FEW systems -- Sustainable design of EW and FEW systems -- Impact of renewable energy resources in EW and FEW systems -- Renewable energy based water desalination systems -- Net zero energy buildings: design and operation -- Net zero water and waste buildings: design and operation -- Renewable energy systems for agriculture applications -- Security interactions of food, water and energy systems -- Challenges and opportunities of FEW nexus in the sustainable development of different countries -- Impact of FEW nexus perspectives on managing agricultural droughts -- An integrated modeling approach for FEW nexus management. Tipo de medio : Computadora Summary : This book presents readers with an integrated modeling approach for analyzing and understanding the interconnection of water, energy, and food resources and discusses the relationship between resilience and sustainability of the food- energy –water (FEW) system. Authors provide novel frameworks, models, and algorithms designed to balance the theoretical and applicative aspects of each chapter. The book covers an integrated modeling approach for FEW systems along with developed methods, codes, and planning tools for designing interdependent energy, water and food systems. In-depth chapters discuss the impact of renewable energy resources in FEW systems, sustainable design and operation, net zero energy buildings, and challenges and opportunities of the FEW nexus in the sustainable development of different countries. This book is useful for graduate students, researchers, and engineers seeking to understand how sustainable FEW systems contribute to the resilience of these systems and help policy and design makers allocate and prioritize resources in an integrated manner across the food, energy, and water sectors. An integrated modeling approach for analyzing and understanding the interconnection of water, energy, and food resources. Contains novel frameworks, models, and algorithms. Includes case studies to enhance practical applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Grid Modernization ─ Future Energy Network Infrastructure : Overview, Uncertainties, Modelling, Optimization, and Analysis Tipo de documento: documento electrónico Autores: Daneshvar, Mohammadreza, ; Asadi, Somayeh, ; Mohammadi-Ivatloo, Behnam, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVI, 280 p. 75 ilustraciones, 74 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-64099-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa de EnergÃa Eléctrica Almacenamiento de energÃa mecánica y térmica IngenierÃa Mecánica Energética Almacen de energia Fuente de energÃa renovable Electric power production EnergÃa renovable Clasificación: 621.31 Resumen: Este libro presenta información teórica, técnica y práctica sobre la modernización de las futuras redes energéticas. Se explican en detalle todos los requisitos básicos que abarcan conceptos, modelado, optimización y análisis de las futuras redes energéticas con diversos portadores de energÃa como electricidad, gas, calor y agua, asà como sus mercados y contratos. El objetivo principal del libro es modernizar tanto a los consumidores como a los productores de energÃa y analizar diversos aspectos de la modernización de la red, como la confiabilidad, la resiliencia, la estabilidad y la seguridad. La cobertura incluye protocolos de comunicación avanzados y métodos de solución para la infraestructura de Internet de la EnergÃa (IoE) y el comercio de energÃa en futuras redes energéticas con una proporción alta o total de recursos de energÃa renovable (RER) dentro del paradigma de energÃa transactiva (TE). Se evaluará el modelado probabilÃstico y la optimización de las redes modernas utilizando estudios de casos realistas que consideren los aspectos económicos de los mercados de energÃa de múltiples operadores. Este libro será bienvenido como un recurso importante por investigadores y estudiantes de posgrado que estudian sistemas energéticos, asà como por ingenieros en ejercicio que trabajan en la modernización de las redes energéticas y el diseño, planificación, programación y operación de sistemas eléctricos inteligentes. Propone soluciones prácticas para resolver los desafÃos de las modernas redes energéticas multiportadoras; Examina varios tipos de sistemas de almacenamiento de energÃa y recursos energéticos distribuidos (DER) con énfasis en los recursos energéticos renovables (RER); Proporciona modelos matemáticos completos para optimizar las futuras redes energéticas modernas de múltiples portadores. Nota de contenido: Overview of the grid modernization and smart grids -- Modernizing the energy customer side -- Technical and theoretical analysis of the future energy network modernization from various aspects -- Advanced communication protocols in modernizing of the future energy grids -- Energy trading possibilities in the modern multi carrier energy networks -- Probabilistic modeling and optimizing of the modern grids with a full share of RERs: robustness and opportunistic analyzing of the system -- An application of the General Algebraic Modeling System (GAMS) in the optimization of the modern grids. Tipo de medio : Computadora Summary : This book presents theoretical, technical, and practical information on the modernization of future energy networks. All the basic requirements covering concepts, modeling, optimizing, and analyzing of future energy grids with various energy carriers such as electricity, gas, heat, and water, as well as their markets and contracts, are explained in detail. The main focus of the book is on modernizing both the energy consumers and the energy producers and analyzing various aspects of grid modernization such as reliability, resiliency, stability, and security. Coverage includes advanced communication protocols and solution methods for the Internet of Energy (IoE) infrastructure and energy trading in future energy grids with high/full share of renewable energy resources (RERs) within the transactive energy (TE) paradigm. Probabilistic modeling and optimizing of modern grids will be evaluated using realistic case studies considering the economic aspects of multi-carrier energy markets. This book will be welcomed as an important resource by researchers and postgraduate students studying energy systems, as well as practicing engineers working on modernizing energy grids and the design, planning, scheduling, and operation of smart power systems. Proposes practical solutions for solving the challenges of modern multi-carrier energy grids; Examines various types of energy storage systems and distributed energy resources (DERs) with an emphasis on renewable energy resources (RERs); Provides comprehensive mathematical models for optimizing of future modern multi-carrier energy grids. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Grid Modernization ─ Future Energy Network Infrastructure : Overview, Uncertainties, Modelling, Optimization, and Analysis [documento electrónico] / Daneshvar, Mohammadreza, ; Asadi, Somayeh, ; Mohammadi-Ivatloo, Behnam, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVI, 280 p. 75 ilustraciones, 74 ilustraciones en color.
ISBN : 978-3-030-64099-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa de EnergÃa Eléctrica Almacenamiento de energÃa mecánica y térmica IngenierÃa Mecánica Energética Almacen de energia Fuente de energÃa renovable Electric power production EnergÃa renovable Clasificación: 621.31 Resumen: Este libro presenta información teórica, técnica y práctica sobre la modernización de las futuras redes energéticas. Se explican en detalle todos los requisitos básicos que abarcan conceptos, modelado, optimización y análisis de las futuras redes energéticas con diversos portadores de energÃa como electricidad, gas, calor y agua, asà como sus mercados y contratos. El objetivo principal del libro es modernizar tanto a los consumidores como a los productores de energÃa y analizar diversos aspectos de la modernización de la red, como la confiabilidad, la resiliencia, la estabilidad y la seguridad. La cobertura incluye protocolos de comunicación avanzados y métodos de solución para la infraestructura de Internet de la EnergÃa (IoE) y el comercio de energÃa en futuras redes energéticas con una proporción alta o total de recursos de energÃa renovable (RER) dentro del paradigma de energÃa transactiva (TE). Se evaluará el modelado probabilÃstico y la optimización de las redes modernas utilizando estudios de casos realistas que consideren los aspectos económicos de los mercados de energÃa de múltiples operadores. Este libro será bienvenido como un recurso importante por investigadores y estudiantes de posgrado que estudian sistemas energéticos, asà como por ingenieros en ejercicio que trabajan en la modernización de las redes energéticas y el diseño, planificación, programación y operación de sistemas eléctricos inteligentes. Propone soluciones prácticas para resolver los desafÃos de las modernas redes energéticas multiportadoras; Examina varios tipos de sistemas de almacenamiento de energÃa y recursos energéticos distribuidos (DER) con énfasis en los recursos energéticos renovables (RER); Proporciona modelos matemáticos completos para optimizar las futuras redes energéticas modernas de múltiples portadores. Nota de contenido: Overview of the grid modernization and smart grids -- Modernizing the energy customer side -- Technical and theoretical analysis of the future energy network modernization from various aspects -- Advanced communication protocols in modernizing of the future energy grids -- Energy trading possibilities in the modern multi carrier energy networks -- Probabilistic modeling and optimizing of the modern grids with a full share of RERs: robustness and opportunistic analyzing of the system -- An application of the General Algebraic Modeling System (GAMS) in the optimization of the modern grids. Tipo de medio : Computadora Summary : This book presents theoretical, technical, and practical information on the modernization of future energy networks. All the basic requirements covering concepts, modeling, optimizing, and analyzing of future energy grids with various energy carriers such as electricity, gas, heat, and water, as well as their markets and contracts, are explained in detail. The main focus of the book is on modernizing both the energy consumers and the energy producers and analyzing various aspects of grid modernization such as reliability, resiliency, stability, and security. Coverage includes advanced communication protocols and solution methods for the Internet of Energy (IoE) infrastructure and energy trading in future energy grids with high/full share of renewable energy resources (RERs) within the transactive energy (TE) paradigm. Probabilistic modeling and optimizing of modern grids will be evaluated using realistic case studies considering the economic aspects of multi-carrier energy markets. This book will be welcomed as an important resource by researchers and postgraduate students studying energy systems, as well as practicing engineers working on modernizing energy grids and the design, planning, scheduling, and operation of smart power systems. Proposes practical solutions for solving the challenges of modern multi-carrier energy grids; Examines various types of energy storage systems and distributed energy resources (DERs) with an emphasis on renewable energy resources (RERs); Provides comprehensive mathematical models for optimizing of future modern multi-carrier energy grids. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems : Design, Modeling and Robust Optimization Tipo de documento: documento electrónico Autores: Jabari, Farkhondeh, ; Mohammadi-Ivatloo, Behnam, ; Mohammadpourfard, Mousa, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: X, 355 p. 157 ilustraciones, 143 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-42420-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa de EnergÃa Eléctrica Fuente de energÃa renovable IngenierÃa Mecánica Energética Almacenamiento de energÃa mecánica y térmica EnergÃa renovable Electric power production Almacen de energia Clasificación: 621.042 Resumen: Este libro presenta principios de diseño, evaluación del desempeño y optimización sólida de diferentes sistemas de poligeneración que utilizan fuentes de energÃa renovables y tecnologÃas de almacenamiento. Las incertidumbres asociadas con la demanda o la naturaleza intermitente de las energÃas renovables se consideran en los procesos de toma de decisiones. También se proporcionan los beneficios económicos y ambientales de estos sistemas en comparación con los tradicionales basados ​​en combustibles fósiles. Se han presentado estudios de casos, resultados numéricos, discusiones y comentarios finales para cada sistema/estrategia propuesto. Este libro es una herramienta útil para estudiantes, investigadores e ingenieros que intentan diseñar y evaluar diferentes redes independientes de energÃa cero y emisiones cero. Contiene ejemplos ilustrativos y estudios de casos reales Presenta los enfoques más actualizados para la integración energética Proporciona técnicas de optimización y sus aplicaciones para sistemas energéticos. Nota de contenido: Definition of multi-generation systems.-Economic and environmental benefits of renewable energy sources in combined cooling, heating, potable water, hydrogen, and power generation systems -- Selection of cost-effective and energy-efficient storages with respect to uncertain nature of renewable energy resources and variations of demands -- Solar powered combined cooling, heating, potable water, hydrogen, and power generation systems with Application of ice storage/molten salt/batteries/electric and hydrogen vehicles -- Utilization of geothermal heat reservoirs of abandoned oil and gas wells for seawater purification and heat cool/hydrogen/power generation taking into account thermal energy storage systems such as molten salt -- Application of hydro potential in seawater desalination, hydrogen and power generation facilities without and with application of pumped storage -- Bio-fueled poly-generation of heat, power and fresh water production system considering advanced adiabatic compressed air energy storage -- Information gap decision theory for risk-aversion and risk-seeker decision making processes in solar multi-generation systems -- Monte Carlo simulations for sizing ice cold thermal energy storage in solar powered trigeneration microgrids -- Point estimation method for modeling intermittency of solar irradiations in molten salt integrated solar poly-generation plants -- Fuzzy scenario based stochastic programming approach for making robust decision in operation of biomass fired multi-generation plants -- Game theory application for finding optimal operating point of multi-production system under fluctuations of renewables and various load levels. . Tipo de medio : Computadora Summary : This book presents design principles, performance assessment and robust optimization of different poly-generation systems using renewable energy sources and storage technologies. Uncertainties associated with demands or the intermittent nature of renewables are considered in decision making processes. Economic and environmental benefits of these systems in comparison with traditional fossil fuels based ones are also provided. Case studies, numerical results, discussions, and concluding remarks have been presented for each proposed system/strategy. This book is a useful tool for students, researchers, and engineers trying to design and evaluate different zero-energy and zero-emission stand-alone grids. Contains illustrative examples and real case studies Presents the most up-to-date approaches for energy integration Provides optimization techniques and their applications for energy systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems : Design, Modeling and Robust Optimization [documento electrónico] / Jabari, Farkhondeh, ; Mohammadi-Ivatloo, Behnam, ; Mohammadpourfard, Mousa, . - 1 ed. . - [s.l.] : Springer, 2020 . - X, 355 p. 157 ilustraciones, 143 ilustraciones en color.
ISBN : 978-3-030-42420-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa de EnergÃa Eléctrica Fuente de energÃa renovable IngenierÃa Mecánica Energética Almacenamiento de energÃa mecánica y térmica EnergÃa renovable Electric power production Almacen de energia Clasificación: 621.042 Resumen: Este libro presenta principios de diseño, evaluación del desempeño y optimización sólida de diferentes sistemas de poligeneración que utilizan fuentes de energÃa renovables y tecnologÃas de almacenamiento. Las incertidumbres asociadas con la demanda o la naturaleza intermitente de las energÃas renovables se consideran en los procesos de toma de decisiones. También se proporcionan los beneficios económicos y ambientales de estos sistemas en comparación con los tradicionales basados ​​en combustibles fósiles. Se han presentado estudios de casos, resultados numéricos, discusiones y comentarios finales para cada sistema/estrategia propuesto. Este libro es una herramienta útil para estudiantes, investigadores e ingenieros que intentan diseñar y evaluar diferentes redes independientes de energÃa cero y emisiones cero. Contiene ejemplos ilustrativos y estudios de casos reales Presenta los enfoques más actualizados para la integración energética Proporciona técnicas de optimización y sus aplicaciones para sistemas energéticos. Nota de contenido: Definition of multi-generation systems.-Economic and environmental benefits of renewable energy sources in combined cooling, heating, potable water, hydrogen, and power generation systems -- Selection of cost-effective and energy-efficient storages with respect to uncertain nature of renewable energy resources and variations of demands -- Solar powered combined cooling, heating, potable water, hydrogen, and power generation systems with Application of ice storage/molten salt/batteries/electric and hydrogen vehicles -- Utilization of geothermal heat reservoirs of abandoned oil and gas wells for seawater purification and heat cool/hydrogen/power generation taking into account thermal energy storage systems such as molten salt -- Application of hydro potential in seawater desalination, hydrogen and power generation facilities without and with application of pumped storage -- Bio-fueled poly-generation of heat, power and fresh water production system considering advanced adiabatic compressed air energy storage -- Information gap decision theory for risk-aversion and risk-seeker decision making processes in solar multi-generation systems -- Monte Carlo simulations for sizing ice cold thermal energy storage in solar powered trigeneration microgrids -- Point estimation method for modeling intermittency of solar irradiations in molten salt integrated solar poly-generation plants -- Fuzzy scenario based stochastic programming approach for making robust decision in operation of biomass fired multi-generation plants -- Game theory application for finding optimal operating point of multi-production system under fluctuations of renewables and various load levels. . Tipo de medio : Computadora Summary : This book presents design principles, performance assessment and robust optimization of different poly-generation systems using renewable energy sources and storage technologies. Uncertainties associated with demands or the intermittent nature of renewables are considered in decision making processes. Economic and environmental benefits of these systems in comparison with traditional fossil fuels based ones are also provided. Case studies, numerical results, discussions, and concluding remarks have been presented for each proposed system/strategy. This book is a useful tool for students, researchers, and engineers trying to design and evaluate different zero-energy and zero-emission stand-alone grids. Contains illustrative examples and real case studies Presents the most up-to-date approaches for energy integration Provides optimization techniques and their applications for energy systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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