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Big Data in Energy Economics

-15% su kodu: ENG15
91,15 
Įprasta kaina: 107,23 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
91,15 
Įprasta kaina: 107,23 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 107.2300 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Autorius: Hui Liu, Rui Yang, Yanfei Li, Nikolaos Nikitas,
Serija: Management for Professionals
Leidėjas: Springer Nature Singapore
Išleidimo metai: 2022
Knygos puslapių skaičius: 280
ISBN-10: 9811689644
ISBN-13: 9789811689642
Formatas: 241 x 160 x 21 mm. Knyga kietu viršeliu
Kalba: Anglų

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