Stochastic Planning and Modeling for Energy Systems: Methods, Applications, and Developments acts as a comprehensive resource on both modeling and planning techniques for stochastic methods in power systems, spanning from scenario generation and reduction to investment and operational planning under uncertainty. Chapters demonstrate modeling systems with multiple, interacting uncertainties, load, renewables, network constraints, prices, and how to use these models for robust investment and operational planning. Methods, applications, and the latest developments, including stochastic methods to generation, distribution, capacity investment, DER siting, and demand-side flexibility, especially under high shares of renewables and EVs are presented. Additionally, real-world planning challenges, including capacity expansion, microgrid design, and integration of new technologies like hydrogen, batteries, and supercapacitors are examined. Real-world case studies and algorithms are included to demonstrate stochastic workflows and methods. This is a valuable reference for transmission and distribution operators, system planners, market designers, power-system engineers, energy analysts, and MSc-level graduate students in power systems engineering.
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Miadreza Shafie-khah is the Head of Research and Innovation Division at Nowocert, Dublin, Ireland, and a visiting professor at the Royal Melbourne Institute of Technology, Australia. He is the editor-in-chief or associate editor of several prestigious journals including the IEEE Transactions on Sustainable Energy and the IEEE Transactions on Intelligent Transportation Systems. His main research interest is in demand response, decentralized electricity markets, and electric vehicles.
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 350 pages. 5.98x1.69x9.02 inches. In Stock. Nº de ref. del artículo: __0443452989
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Stochastic Planning and Modeling for Energy Systems Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780443452987
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Librería: moluna, Greven, Alemania
Condición: New. Demonstrates end-to-end stochastic workflows using detailed case studies, including islanded microgrids and high-EV scenariosPresents step-by-step treatments of sampling methods, reduction techniques, multistage programming, and risk-measur. Nº de ref. del artículo: 3186215375
Cantidad disponible: 2 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 350 pages. 5.98x1.69x9.02 inches. In Stock. Nº de ref. del artículo: x-0443452989
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Neuware - Stochastic Planning and Modeling for Energy Systems: Methods, Applications, and Developments acts as a comprehensive resource on both modeling and planning techniques for stochastic methods in power systems, spanning from scenario generation and reduction to investment and operational planning under uncertainty. Chapters demonstrate modeling systems with multiple, interacting uncertainties, load, renewables, network constraints, prices, and how to use these models for robust investment and operational planning. Methods, applications, and the latest developments, including stochastic methods to generation, distribution, capacity investment, DER siting, and demand-side flexibility, especially under high shares of renewables and EVs are presented.Additionally, real-world planning challenges, including capacity expansion, microgrid design, and integration of new technologies like hydrogen, batteries, and supercapacitors are examined. Real-world case studies and algorithms are included to demonstrate stochastic workflows and methods. This is a valuable reference for transmission and distribution operators, system planners, market designers, power-system engineers, energy analysts, and MSc-level graduate students in power systems engineering. Nº de ref. del artículo: 9780443452987
Cantidad disponible: 1 disponibles