Springer
Big Data in Energy Economics
Product Code:
9789811689673
ISBN13:
9789811689673
Condition:
New
$71.00
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?enefit 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.
| Author: Hui Liu, Nikolaos Nikitas, Yanfei Li, Rui Yang |
| Publisher: Springer |
| Publication Date: Feb 10, 2023 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 9811689679 |
| ISBN-13: 9789811689673 |
Big Data in Energy Economics
$71.00
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?enefit 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.
| Author: Hui Liu, Nikolaos Nikitas, Yanfei Li, Rui Yang |
| Publisher: Springer |
| Publication Date: Feb 10, 2023 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 9811689679 |
| ISBN-13: 9789811689673 |
Related Products
Sale 13%
Eliva Press
The Measurement of Financial Risk and Evaluation of Economic Policy Based on Big Data
$70.00
$61.13
Sale 5%
Sale 5%
