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: Paperback / softback
Length: 258 pages
Publication date: 09 February 2023
Publisher: Springer Verlag, Singapore

This groundbreaking work seamlessly blends energy economics with big data modeling analysis, offering a comprehensive introduction to the realm of energy conversion and management within the context of the smart energy economy. By leveraging the power of time series big data modeling, energy economy managers gain valuable insights to develop rational and practical pricing mechanisms for electricity, thereby enhancing the capacity of the power grid to absorb and distribute energy. Moreover, they employ data mining techniques to conduct scientific power equipment scheduling and cost-benefit analysis, ensuring the avoidance of potential losses stemming from accidental equipment damage. Through the interpretation of modeling results, energy users are empowered to adjust their power consumption behavior, achieving the dual goals of energy savings and emission reduction while simultaneously moderating 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 an indispensable tool for those seeking to stay at the forefront of this rapidly evolving industry.

Dimension: 235 x 155 (mm)
ISBN-13: 9789811689673
Edition number: 1st ed. 2022