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Energies2024, 17(19), 4885;https://doi.org/10.3390/en17194885

Journal: EnergiesVolume: 17Number: 4885

Article: 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

Authors:
Ziyang Wang^1,*,
Masahiro Mae¹ and
Takeshi Yamane²
et al.

Link: https://www.mdpi.com/1996-1073/17/19/4885

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