DR potential probabilistic forecasting model of load aggregators based on ensemble learning

DR potential probabilistic forecasting model of load aggregators based on ensemble learning

Day-ahead forecasting on the demand response (DR) potential of the load aggregators could provide important reference information for the quotations and volumes of load aggregators in the electricity market, thus reducing decision-making risks. Aiming at the shortcomings of generalization and reliab...

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Bibliographic Details
Main Authors: YEERSEN Sailike, YANG Xi, LI Meiyi, LI Na, GE Xinxin, WANG Fei
Format: Article
Language:zho
Published: Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. 2025-04-01
Series:Diance yu yibiao
Subjects:
load aggregator
dr potential
ensemble learning
probabilistic forecasting
Online Access:http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220713013&flag=1&journal_id=dcyyben&year_id=2025
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