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Big data in energy economics / Hui Liu, Nikolaos Nikitas, Yanfei Li, Rui Yang.

9789811689659 (electronic bk.)
9811689652 (electronic bk.)
9811689644
9789811689642

Singapore : Springer, 2022.

English

1 online resource (275 pages)

10.1007/978-981-16-8965-9 doi

HD9502.A2

333.79

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 costbenefit 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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed February 23, 2022).
Description based on print version record.

Management for professionals.

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