A market-rule-informed neural network for imbalance electricity price forecasting matches generic deep learning accuracy while using substantially fewer parameters and less training time.
Probabilistic forecasting of german electricity imbalance prices
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A structured review organizes deep learning models for electricity price forecasting via a backbone-head-loss taxonomy and identifies gaps in intraday and balancing market applications.
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A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting
A market-rule-informed neural network for imbalance electricity price forecasting matches generic deep learning accuracy while using substantially fewer parameters and less training time.
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Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
A structured review organizes deep learning models for electricity price forecasting via a backbone-head-loss taxonomy and identifies gaps in intraday and balancing market applications.