Anomaly detection for carbon trading data in power system based on improved isolation forest method

Anomaly detection for carbon trading data in power system based on improved isolation forest method

With the improvement of carbon asset trading mechanism in China, trading has become increasingly active. The rapid increase of carbon asset types and data volume from trading has brought challenges to data aggregation and management of carbon asset operation departments. In order to improve the mana...

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Bibliographic Details
Main Authors: ZHANG Xu, WANG Xudong, HE Xin, WANG Lin, FENG Quehe, LIU Bin
Format: Article
Language:zho
Published: Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. 2025-06-01
Series:Diance yu yibiao
Subjects:
power system
carbon asset
data aggregation
anomaly detection
Online Access:http://www.emijournal.net/dcyyb/ch/reader/create_pdf.aspx?file_no=20240919002&flag=1&journal_id=dcyyb&year_id=2025
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