A Day-ahead Demand Response Potential Forecasting Approach Based on LSSA-BPNN Considering the Electricity-carbon Coupling Incentive Effects

With global warming, the need for a low-carbon transition of the power system is becoming more urgent. Previous DR potential forecasting models for load aggregators (LAs) only consider the peak-shaving potential of customers, ignore their potential to reduce carbon emissions, resulting in higher car...

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Bibliographic Details

Published in:	Conference record (Industrial & Commercial Power Systems Technical Conference) pp. 1 - 8
Main Authors:	Wang, Liyong, Sun, Qinfei, Li, Meiyi, Ge, Xinxin, Wang, Fei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.05.2023
Subjects:	Biological system modeling Carbon dioxide Couplings Demand response Electric potential Electricity-carbon Coupling Feature extraction Load aggregator Low-carbon Potential forecasting Predictive models Scheduling
ISSN:	2158-4907
Online Access:	Get full text
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