Photovoltaic Power Plant Power Output Prediction using Fuzzy Rules
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088095" target="_blank" >RIV/61989100:27240/13:86088095 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/13:86088095
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Photovoltaic Power Plant Power Output Prediction using Fuzzy Rules
Original language description
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 classi?ers 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 classi?er in the form of a fuzzy search expression to predict PVPP Power output.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Przeglad elektrotechniczny
ISSN
0033-2097
e-ISSN
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Volume of the periodical
89
Issue of the periodical within the volume
11
Country of publishing house
PL - POLAND
Number of pages
3
Pages from-to
78-80
UT code for WoS article
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EID of the result in the Scopus database
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