Intelligent Decision Support for Improving Power Management

被引：0
|
作者：
Zheng, Yongqing [1 ,2 ]
Yu, Han [3 ,4 ]
Zhang, Kun [1 ,2 ,5 ]
Shi, Yuliang [1 ,2 ]
Leung, Cyril [4 ,6 ]
Miao, Chunyan [3 ,4 ]
机构：
[1] Shandong Univ, Sch Software, Jinan, Peoples R China
[2] Dareway Software Co Ltd, Jinan, Peoples R China
[3] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore
[4] Joint NTU UBC Res Ctr Excellence Act Living Elder, Singapore, Singapore
[5] Univ Jinan, Sch Informat Sci & Engn, Jinan, Peoples R China
[6] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC, Canada
来源：
PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2019年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：6587 / 6589
页数：3
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