Evolutionary Prediction of Photovoltaic Power Plant Energy Production
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084787" target="_blank" >RIV/61989100:27240/12:86084787 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2330784.2330790" target="_blank" >http://dx.doi.org/10.1145/2330784.2330790</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2330784.2330790" target="_blank" >10.1145/2330784.2330790</a>
Alternative languages
Result language
angličtina
Original language name
Evolutionary Prediction of Photovoltaic Power Plant Energy Production
Original language description
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 operationsof a real PVPP.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/FR-TI1%2F420" target="_blank" >FR-TI1/420: *Integrated software system for optimalization and control of technological processes and prediction of production quality for large technological complexes with use of advanced mathematic method, simulation and artificial intelligence.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
ISBN
978-1-4503-1178-6
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
35-42
Publisher name
ACM
Place of publication
New York
Event location
Philadelphia
Event date
Jul 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—