| Issue |
E3S Web Conf.
Volume 358, 2022
5th International Conference on Green Energy and Sustainable Development (GESD 2022)
|
|
|---|---|---|
| Article Number | 02038 | |
| Number of page(s) | 4 | |
| Section | Regular Contributions | |
| DOI | https://doi.org/10.1051/e3sconf/202235802038 | |
| Published online | 27 October 2022 | |
Construction of demand response model of integrated energy system based on machine learning algorithm
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, Hebei, 071003, China
The “multi-energy era”, which is complementary to new energy and fossil energy, has arrived. Demand-side management (DSM) has gradually gained worldwide attention because of its advantages of high flexibility and great response potential. However, the appearance of integrated energy system (IES) has broken the existing mode of independent operation of traditional energy systems, and made different forms of multi-energy flow more and more closely coupled. Demand response is the key measure to stimulate demand-side resources to participate in scheduling. IES can integrate various forms of energy, which brings new development to demand response. This paper studies the demand response project of IES, introduces the basic concept and popularization value of integrated demand response, and builds the demand response model of IES based on machine learning algorithm.
Key words: Machine learning algorithm / Demand response model of integrated energy system
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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