Deng, K.; Zhang, H.; Cui, Z.; Zha, Z.; Gao, S.; Yan, S.; Hua, Y.; Liu, X.; Xu, S.; Wei, F.;
et al. DR-RQL: A Sustainable Demand Response-Based Learning System for Energy Scheduling and Battery Health Estimation. Sustainability 2025, 17, 10970.
https://doi.org/10.3390/su172410970
AMA Style
Deng K, Zhang H, Cui Z, Zha Z, Gao S, Yan S, Hua Y, Liu X, Xu S, Wei F,
et al. DR-RQL: A Sustainable Demand Response-Based Learning System for Energy Scheduling and Battery Health Estimation. Sustainability. 2025; 17(24):10970.
https://doi.org/10.3390/su172410970
Chicago/Turabian Style
Deng, Kailian, Hongtao Zhang, Zihao Cui, Zhongyi Zha, Shuyi Gao, Shuai Yan, Yicun Hua, Xiaojie Liu, Shaoxuan Xu, Fang Wei,
and et al. 2025. "DR-RQL: A Sustainable Demand Response-Based Learning System for Energy Scheduling and Battery Health Estimation" Sustainability 17, no. 24: 10970.
https://doi.org/10.3390/su172410970
APA Style
Deng, K., Zhang, H., Cui, Z., Zha, Z., Gao, S., Yan, S., Hua, Y., Liu, X., Xu, S., Wei, F., Chen, G., & Liu, X.
(2025). DR-RQL: A Sustainable Demand Response-Based Learning System for Energy Scheduling and Battery Health Estimation. Sustainability, 17(24), 10970.
https://doi.org/10.3390/su172410970