PHOTOVOLTAIC POWER PLANT POWER OUTPUT PREDICTION USING FUZZY RULES
Lukáš Prokop, Stanislav Mišák, Václav Snåšel, Pavel Krömer, Jan Platoš · PRZEGLĄD ELEKTROTECHNICZNY · 2012
Photovoltaic Power Plants (PVPP) are classified as a power energy sources with non-stabile supply of electric energy. It is necessary to back up power energy from PVPP for stabile electric network operation. We can set an optimal value of back up power energy with using variety of prediction models and methods for PVPP Power output prediction. Fuzzy classifiers and fuzzy rules can be informally defined as tools that use fuzzy sets or fuzzy logic for their operations. In this paper, we use genetic programming to evolve a fuzzy classifier in the form of a fuzzy search expression to predict PVPP Power output.