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, 4885.
https://doi.org/10.3390/en17194885
AMA Style
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
Chicago/Turabian Style
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
APA Style
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
