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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • 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

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • 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