Smart Energy Management
Administrative Sciences
Business & Economics
EN

Description
This 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-bas
Book Details
Authors
Kaile Zhou, Lulu Wen
Publisher
Springer Nature
Publication Date
2022-02-04
ISBN-13
9789811693601
Page Count
317
Language
En
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