Big Data in Energy Economics eBook
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This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure.

This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.

About the book
Author
Yanfei  Li , Hui  Liu , Nikolaos  Nikitas , Rui  Yang
Imprint
Springer
Collection
Management for Professionals
Publication date
2022-02-08
Pages
258 pages
Print ISBN
9789811689642
Language
English
Ebook informations
EAN EPUB
9789811689659
Price
£39.99
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Copy count 2
Print count 25
File size 42875 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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