Data-Driven Abnormity Assessment for Low-Voltage Power Consumption and Supplies Based on CRITIC and Improved Radar Chart Algorithms

Author:

Zhang BoORCID,Liu ShengyuanORCID,Dong HanyuORCID,Zheng SongsongORCID,Zhao LingORCID,Zhu RuiqianORCID,Zhao LimeiORCID,Lin ZhenzhiORCID,Yang LiORCID,Wang QinORCID

Funder

National Basic Research Program of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An AI-assistant health state evaluation method of sensing devices;Advances in Manufacturing;2024-07-22

2. Technical and Economic Evaluation of Pure Car Truck Carrier Based on CRITIC-G2-PROMETHEE;2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII);2024-06-12

3. A Data-Driven Examination of the Risk of Spot Market Electricity Prices;Proceedings of the International Conference on AI and Metaverse in Supply Chain Management;2023-11-18

4. Node Vulnerability Assessment Method for Distribution System Based on Combined Weights and VIKOR;2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS);2023-07-14

5. Image Representation of Numerical Data-points for Classification Using Convolutional Neural Network;2023 4th International Conference on Computing and Communication Systems (I3CS);2023-03-16

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