Short-Term Prediction of Generated Power from Small Roof Photovoltaic Power Plant

Abstract

In recent years, a significant increase in smart home installations can be observed. These installations provide their users with high comfort and make life easier in almost all everyday activities. Users of these systems also expect a reduction in energy costs. The optimal use of photovoltaic rooftop power plants in these systems is therefore essential. This work deals with a short-term prediction of the generated power of a rooftop photovoltaic power plant. The data set of the generated energy for five years obtained from a specific rooftop photovoltaic power plant was used for the prediction process. The prediction model is based on Formal Concept Analysis as a cluster analysis method, and the prediction itself is then performed by traversing the concept lattice.