APA (7th ed.) Citation

Wang, L., Sun, Q., Li, M., Ge, X., & Wang, F. (2023, May 21). A Day-ahead Demand Response Potential Forecasting Approach Based on LSSA-BPNN Considering the Electricity-carbon Coupling Incentive Effects. Conference record (Industrial & Commercial Power Systems Technical Conference), 1-8. https://doi.org/10.1109/ICPS57144.2023.10142112

Chicago Style (17th ed.) Citation

Wang, Liyong, Qinfei Sun, Meiyi Li, Xinxin Ge, and Fei Wang. "A Day-ahead Demand Response Potential Forecasting Approach Based on LSSA-BPNN Considering the Electricity-carbon Coupling Incentive Effects." Conference Record (Industrial & Commercial Power Systems Technical Conference) 21 May. 2023: 1-8. https://doi.org/10.1109/ICPS57144.2023.10142112.

MLA (9th ed.) Citation

Wang, Liyong, et al. "A Day-ahead Demand Response Potential Forecasting Approach Based on LSSA-BPNN Considering the Electricity-carbon Coupling Incentive Effects." Conference Record (Industrial & Commercial Power Systems Technical Conference), 21 May. 2023, pp. 1-8, https://doi.org/10.1109/ICPS57144.2023.10142112.