We analyse the drivers of European Power Exchange (EPEX) retail electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...

The increased wind energy supplied to many electricity markets around the world has to be balanced by reliable back up units or other complementary measures when wind conditions are low. At the same time wind energy impacts both, the utilization of thermal power plants and the market prices....

We develop a model with two types of electricity producers, fossil fuel utilities generating emissions, and suppliers of electricity from renewable resources such as wind energy. We account for the vertical structure of the wind-energy sector by considering wind-turbine producers engaged in...