Summary of Demand-side Response and Energy Transaction Strategy of Intelligent Building Clusters Driven by Data

Journal Title: Journal of Sustainability for Energy - Year 2022, Vol 1, Issue 1

Abstract

At present, intelligent buildings have formed a relatively mature and complete industrial chain and industrial scale in China, but there are still some technical and application problems to be solved urgently, mainly including the lack of linkage between different demand-side energy demand scenarios, the inability to guarantee information security, and serious building energy consumption. In view of the above problems, scholars at home and abroad have launched relevant research, but they have not comprehensively considered the relevance of the above problems. Therefore, this article sorts out the research status of source-load joint forecast method of intelligent building clusters, and analyzes the related development trends, including three major directions: source-load joint forecast method of intelligent building clusters, key technologies of energy supply and demand data security of intelligent building clusters, and distributed energy transaction strategy of intelligent building clusters. Through combing and analysis, this article has formed a number of valuable research directions, which can provide directional reference and knowledge for the accurate response of electric-thermal load and energy transaction strategy of intelligent building clusters and P2P method theory in other scenarios.

Authors and Affiliations

Chenxi Jia, Long Zhang, Chuanjin Zhang, Yutan Li

Keywords

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  • EP ID EP732259
  • DOI https://doi.org/10.56578/jse010102
  • Views 65
  • Downloads 0

How To Cite

Chenxi Jia, Long Zhang, Chuanjin Zhang, Yutan Li (2022). Summary of Demand-side Response and Energy Transaction Strategy of Intelligent Building Clusters Driven by Data. Journal of Sustainability for Energy, 1(1), -. https://europub.co.uk/articles/-A-732259