Short-Term Prediction of Generated Power from Small Roof Photovoltaic Power Plant

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Short-Term Prediction of Generated Power from Small Roof Photovoltaic Power Plant

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Short-Term Prediction of Generated Power from Small Roof Photovoltaic Power Plant

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2021 22nd International Carpathian Control Conference, ICCC 2021

ISBN

978-1-72818-609-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Velké Karlovice

Datum konání akce

31. 5. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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