Reducing energy consumption and carbon emissions are two cornerstones of the fight against climate change. Signaling negative externalities of individual consumption on the environment is at the heart of public policies, and usually materializes through an increase in the price of polluting...

Electricity price forecasting is a challenging task for decision-makers in deregulated power markets due to the inherent characteristics of electricity prices, e.g., high frequency and volatility. Accordingly, we propose a novel hybrid Deep Learning model to forecast one-step, two-step, and...