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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Vydané v:	Conference record (Industrial & Commercial Power Systems Technical Conference) s. 1 - 8
Hlavní autori:	Wang, Liyong, Sun, Qinfei, Li, Meiyi, Ge, Xinxin, Wang, Fei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 21.05.2023
Predmet:	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
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