Order Article Reprints

Wang Z, Mae M, Yamane T, Ajisaka M, Nakata T, Matsuhashi R. Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-Ahead Electricity Prices Using Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) and Ensemble Learning. Energies. 2024; 17(19):4885. https://doi.org/10.3390/en17194885

Wang, Ziyang, Masahiro Mae, Takeshi Yamane, Masato Ajisaka, Tatsuya Nakata, and Ryuji Matsuhashi. 2024. "Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-Ahead Electricity Prices Using Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) and Ensemble Learning" Energies 17, no. 19: 4885. https://doi.org/10.3390/en17194885

Wang, Z., Mae, M., Yamane, T., Ajisaka, M., Nakata, T., & Matsuhashi, R. (2024). Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-Ahead Electricity Prices Using Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) and Ensemble Learning. Energies, 17(19), 4885. https://doi.org/10.3390/en17194885