000			02371nam a22002657a 4500
003			OSt
005			20220530202730.0
008			220530b |||||||| |||| 00| 0 eng d
020			_a9789811693595
020			_a9789811693601
040			_c0
041			_aeng
082			_a621.319 ZHO
092			_20
100			_aZhou, Kaile
245			_aSmart energy management _bdata driven methods for energy service innovation _cKaile Zhou; Lulu Wen
260			_aSingapore _bSpringer _c2022
300			_axv, 310 pages _bgraphs _c26 cm
520			_aThis book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. The book gives a new way to achieve smart energy management, based on various data mining and machine learning methods, including fuzzy clustering, shape-based clustering, ensemble clustering, deep learning, and reinforcement learning. The applications of these data-driven methods in improving energy efficiency and supporting energy service innovation are presented. Moreover, this book also investigates the role of blockchain in supporting peer-to-peer (P2P) electricity trading innovation, thus supporting smart energy management. The general scope of this book mainly includes load clustering, load forecasting, price-based demand response, incentive-based demand response, and energy blockchain-based electricity trading. The intended readership of the book includes researchers and engineers in related areas, graduate and undergraduate students in university, and some other general interested audience. The important features of the book are: (1) it introduces various data-driven methods for achieving different smart energy management tasks; (2) it investigates the role of data-driven methods in supporting various energy service innovation; and (3) it explores energy blockchain in P2P electricity trading, and thus supporting smart energy management.
650			_aElectric power distribution _xManagement
650			_aElectric power-plants _xLoad
650			_aElectric power distribution _xDecision making.
843			_aPhotocopy
942			_2ddc _cBK _n0
999			_c249 _d249