The Development of Machine Learning In Energy Trading

The energy industry has changed at unforeseeable speed. The level of renewable energy in the power system has reached record high year on year. This has brought certain challenges to the prediction and trading of the energy using conventional methods in the ever weather dependent market. In this paper, we will review some of the machine learning technologies that have been used in financial market and can be extended to energy trading. The paper will also cover the unique situation of energy market, i.e. Not economical for large scale of storage. This paper will also have a brief overview of the use of machine learning in demand forecasting.