A HAIS Approach to Predict the Energy Produced by a Solar Panel

Abstract

The current energy crisis coupled with concerns about climate change make renewable energies a priority. Solar energy being one of the most representative in Spain, being able to predict the behavior of a solar energy panel in the short term can be very useful to determine the coverage of this energy. To achieve this goal, four regression techniques in combination with a clustering algorithm have been applied, with the aim of predicting the solar energy generation of a panel during the year 2011 in the autonomous region of Galicia (Spain). A data set with continuous information has been used and it has been possible to validate the best way to combine regression and clustering techniques to achieve the best prediction.