Article Versions Notes

Jin B, Zeng G, Lu Z, Peng H, Luo S, Yang X, Zhu H, Liu M. Hybrid LSTM–BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load. Energies. 2022; 15(20):7584. https://doi.org/10.3390/en15207584

Jin, Bingjie, Guihua Zeng, Zhilin Lu, Hongqiao Peng, Shuxin Luo, Xinhe Yang, Haojun Zhu, and Mingbo Liu. 2022. "Hybrid LSTM–BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load" Energies 15, no. 20: 7584. https://doi.org/10.3390/en15207584

Jin, B., Zeng, G., Lu, Z., Peng, H., Luo, S., Yang, X., Zhu, H., & Liu, M. (2022). Hybrid LSTM–BPNN-to-BPNN Model Considering Multi-Source Information for Forecasting Medium- and Long-Term Electricity Peak Load. Energies, 15(20), 7584. https://doi.org/10.3390/en15207584