Intelligent Decision Support for Improving Power Management

Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao

IJCAI 2019 pp. 6587-6589

doi:10.24963/IJCAI.2019/965 /ijcai/2019/zheng2019ijcai-intelligent/

Abstract

With the development and adoption of the electricity information tracking system in China, real-time electricity consumption big data have become available to enable artificial intelligence (AI) to help power companies and the urban management departments to make demand side management decisions. We demonstrate the Power Intelligent Decision Support (PIDS) platform, which can generate Orderly Power Utilization (OPU) decision recommendations and perform Demand Response (DR) implementation management based on a short-term load forecasting model. It can also provide different users with query and application functions to facilitate explainable decision support.

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Cite

Text

Zheng et al. "Intelligent Decision Support for Improving Power Management." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/965

Markdown

[Zheng et al. "Intelligent Decision Support for Improving Power Management." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/zheng2019ijcai-intelligent/) doi:10.24963/IJCAI.2019/965

BibTeX

@inproceedings{zheng2019ijcai-intelligent,
  title     = {{Intelligent Decision Support for Improving Power Management}},
  author    = {Zheng, Yongqing and Yu, Han and Zhang, Kun and Shi, Yuliang and Leung, Cyril and Miao, Chunyan},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {6587-6589},
  doi       = {10.24963/IJCAI.2019/965},
  url       = {https://mlanthology.org/ijcai/2019/zheng2019ijcai-intelligent/}
}