Predicting energy demand in spain and compliance with the greenhouse gas emissions agreements

Abstract

This paper aims to predict energy demand in Spain for the year 2020 and analyzes whether this country will be able to meet the European Union’s greenhouse gas emission reduction commitment. To this purpose, we use climatic data and some variables to measure the economic activity in Spain. The simulated scenario considers that Spain will begin a process of economic recovery which will result in an increase in industrial activity with stable climatic conditions. Several techniques including Simple Linear Regression, Support Vector Machines or Deep Learning have been proposed to estimate and test the model. The EU agreements imply that by 2020 between 20 and 30% of the consumed energy will come from clean and renewable energy sources. The conclusions for this paper show that Spain may be on track to meet its commitments to Europe.