Forecasting of electricity prices in the Spanish electricity market using machine learning tools
Tutor / director / evaluatorSánchez Espigares, Josep Anton
Document typeTutored research work
Rights accessOpen Access
The objective of this research assignment was to forecast electricity prices in the Spanish electricity market using three different machine learning techniques: k-nearest neighbours, support vector regression and artificial neural networks. The achieved results were compared and the quality of developed models was evaluated. The project was implemented in Python3.