- author = "Pavel Kromer and Lukas Prokop and Vaclav Snasel and Stanislav Misak and Jan Platos and Ajith Abraham",
- title = "Evolutionary prediction of photovoltaic power plant energy production",
- booktitle = "GECCO 2012 Green and Efficient Energy Applications of Genetic and Evolutionary Computation Workshop (GreenGEC)",
- year = "2012",
- editor = "Alexandru-Adrian Tantar and Emilia Tantar and Peter A. N. Bosman",
- isbn13 = "978-1-4503-1178-6",
- keywords = "genetic algorithms, genetic programming",
- pages = "35--42",
- month = "7-11 " # jul,
- organisation = "SIGEVO",
- address = "Philadelphia, Pennsylvania, USA",
-
DOI = "
doi:10.1145/2330784.2330790",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "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.",
-
notes = "Also known as \cite{2330790} Distributed at
GECCO-2012.
ACM Order Number 910122.",
