A CEEMDAN–BiLSTM–GRU hybrid framework for assessing the impact of wind power generation on electricity prices: A comparative study of DK1 and DK2
Electricity price forecasting is critical for electricity markets with high renewable energy penetration, where increasing wind generation introduces significant volatility and uncertainty into price formation. Although deep learning and signal decomposition methods have shown promising results, studies jointly address...