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International Journal of Approximate Reasoning
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EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Genetically Evolved Fuzzy Predictor for Photovoltaic Power Output Estimation
INCOS '11 Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems
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This paper presents an application of genetic programming to the evolution of fuzzy predictors based on fuzzy information retrieval. The fuzzy predictors are used to estimate the output of a Photovoltaic Power Plant (PVPP). The PVPPs are energy sources with an unstable production of electrical energy. It is necessary to back up the energy produced by the PVPPs for stable electric network operations. An optimal value of backup power can be set with advanced prediction models that can contribute to the robustness of the electric network within the framework of an intelligent power grid. This work extends previous research on evolutionary design of fuzzy PVPP output predictors by the evaluation of the method on a larger data set describing the operations of a real PVPP.