Big Data in Energy Economics (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Management for Professionals
Release date:	February 2022
First published:	2022
Authors:	Hui Liu • Nikolaos Nikitas • Yanfei Li • Rui Yang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	258
Edition:	1st ed. 2022
ISBN-13:	978-981-16-8964-2
Categories:	Books > Business & Economics > Economics > Political economy Books > Earth & environment > The environment > Environmental economics > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-16-8964-4
Barcode:	9789811689642

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