Feature Extraction and Anomaly Identification Method for Power Customer Price in Power Market Enviroment

Feature Extraction and Anomaly Identification Method for Power Customer Price in Power Market Enviroment

Identifying electricity price anomalies and exploring the underlying reasons in such a complex market environment, especially with incomplete data, is a key issue for promoting the orderly operation of power market and ensuring the reasonable interests of power customers. Therefore, a method is esta...

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Bibliographic Details
Main Author: ZHU Feng, SHAN Chao, WU Ning, CAI Qixin, ZHU Yunan, LIU Yunpeng, ZUO Qiang
Format: Article
Language:Chinese
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2025-07-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
power market
electricity price
spectral clustering
feature extraction
anomaly identification
Online Access:https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-7-995.shtml
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