Big Data in Energy Economics

This book combines energy economics and big data modeling analysis to develop pricing mechanisms, improve power grid absorption capacity, and carry out scientific power equipment scheduling and cost-benefit analysis. It also helps energy users adjust their power consumption behavior to achieve energy saving and emission reduction.

Format: Hardback
Length: 258 pages
Publication date: 09 February 2022
Publisher: Springer Verlag, Singapore

This groundbreaking work seamlessly blends energy economics and big data modeling analysis to revolutionize energy conversion and management. It offers a comprehensive introduction to the relevant theories, cutting-edge technologies, and practical application examples of the emerging smart energy economy. By leveraging time series big data modeling, energy economy managers can devise rational and feasible pricing mechanisms for electricity, enhancing the power grid's absorption capacity. Moreover, they conduct scientific power equipment scheduling and cost-benefit analysis based on data mining results, preventing potential losses caused by accidental equipment damage. Through the modeling outcomes, energy users can adjust their power consumption behavior, achieving the dual goals of energy savings and emission reduction while simultaneously reducing electricity expenditure.

This book serves as a vital resource for professionals engaged in the fields of smart energy, smart economy, energy Internet, artificial intelligence, energy economics, and policy. Its innovative approach and comprehensive coverage make it a must-read for anyone seeking to stay at the forefront of this rapidly evolving industry.

Weight: 588g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811689642
Edition number: 1st ed. 2022