Short-Term Prediction of Generated Power from Small Roof Photovoltaic Power Plant
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10249228" target="_blank" >RIV/61989100:27240/21:10249228 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454614" target="_blank" >http://dx.doi.org/10.1109/ICCC51557.2021.9454614</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCC51557.2021.9454614" target="_blank" >10.1109/ICCC51557.2021.9454614</a>
Alternative languages
Result language
angličtina
Original language name
Short-Term Prediction of Generated Power from Small Roof Photovoltaic Power Plant
Original language description
In recent years, a significant increase in smart home installations can be observed. These installations provide their users with high comfort and make life easier in almost all everyday activities. Users of these systems also expect a reduction in energy costs. The optimal use of photovoltaic rooftop power plants in these systems is therefore essential. This work deals with a short-term prediction of the generated power of a rooftop photovoltaic power plant. The data set of the generated energy for five years obtained from a specific rooftop photovoltaic power plant was used for the prediction process. The prediction model is based on Formal Concept Analysis as a cluster analysis method, and the prediction itself is then performed by traversing the concept lattice. (C) 2021 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 22nd International Carpathian Control Conference, ICCC 2021
ISBN
978-1-72818-609-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Velké Karlovice
Event date
May 31, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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