Smart Energy Management

Administrative Sciences Business & Economics EN
Smart Energy Management

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

Access Options

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