{"product_id":"9781394363681","title":"Demand-Side Flexible Resources Modeling and Optimal Dispatch","description":"\u003ch1\u003eDemand-Side Flexible Resources\u003c\/h1\u003e\u003ch2\u003eModeling and Optimal Dispatch\u003c\/h2\u003e\u003ch3\u003eZechun Hu | Yilin Wen\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Power Resources \/ Alternative \u0026amp; Renewable\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eA complete technical framework for demand-side flexibility integration\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eAs renewable energy penetration increases, power systems require additional flexibility to maintain supply-demand balance. \u003ci\u003eDemand-Side Flexible Resources \u003c\/i\u003epresents a technical framework covering flexibility modeling of DFRs tailored to specific operational characteristics, flexibility aggregation of large-scale DFRs, machine learning-based forecasting techniques, and multiple dispatch and control strategies for real-time system response. \u003c\/p\u003e\n\u003cp\u003eThe book details flexibility aggregation with distribution network constraints and transmission-distribution coordination design, addressing both deterministic and probabilistic forecasting approaches for flexibility prediction alongside real-time flexibility activation. Coverage extends to modeling uncertainty of flexibility within dispatch operations, providing readers with strategies to coordinate DFR participation across interconnected grid levels. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eFlexibility models tailored to the distinct operational characteristics of various demand-side resource types including electric vehicles, storage, thermostatically controlled loads, and distributed generations\u003c\/li\u003e \u003cli\u003eTechniques for evaluating aggregated flexibility potential from large-scale distributed resources\u003c\/li\u003e \u003cli\u003eMethods for handling stochastic variability and its impact on the aggregated flexibility \u003c\/li\u003e \u003cli\u003eStrategies for coordinating flexibility signals between transmission system operators and distribution systems\u003c\/li\u003e \u003cli\u003eReal time operation methods for distribution system operators and DFR aggregators\u003c\/li\u003e \u003cli\u003eTheoretical foundations supporting advanced optimization algorithms applied to multi-period demand-side resource scheduling problems\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eDesigned for researchers and graduate students in power systems and renewable energy, this book also serves industry professionals in sustainability engineering, including engineers and policy makers seeking advanced methods for leveraging demand-side flexibility to support grid reliability and renewable integration.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eZechun Hu \u003c\/b\u003eis a Professor with the Department of Electrical Engineering at Tsinghua University, China, and a Senior Member of the IEEE. His research focuses on optimal planning and operation of power systems, electric vehicles, and energy storage systems. He received his PhD in Electrical Engineering from Xian Jiao Tong University, China. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eYilin Wen \u003c\/b\u003eis a Lecturer with the School of Electrical and Electronic Engineering at North China Electric Power University, China, and a Member of the IEEE. His research interests include demand-side management, and integrated transmission and distribution systems. He received his PhD in Electrical Engineering from Tsinghua University, China. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e26 January 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394363681\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e272\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":50589933174924,"sku":"9781394363681","price":144.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9781394363681","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}