Metoda prognozy produkcji energii wiatrowej z horyzontem jednodniowym oparta na algorytmach sztucznej inteligencji

• Autorzy: Bilski Adrian

Warianty tytułu

EN

Day-Ahead Wind Power Forecasting Method Based on AI Algorithms

• Języki publikacji: PL

Abstrakty

PL

Tematem artykułu jest przedstawienie metodologii predykcji produkcji energii wiatrowej w horyzoncie jednodniowym z wykorzystaniem metod regresji bazujących na algorytmach sztucznej inteligencji: maszyn faktoryzujących, drzew decyzyjnych oraz lasów losowych. Dane SCADA poddane analizie pochodzą z farmy wiatrowej zlokalizowanej w Turcji i zostały wstępnie przetworzone w celu ułatwienia zadania predykcyjnego.

EN

The subject of this paper is the presentation of the forecasting methodology for wind energy production in a one-day time horizon using regression methods based on artificial intelligence algorithms: factoring machines, decision trees and random forests. The analyzed SCADA data comes from a wind farm located in Turkey and has been pre-processed to facilitate the prediction task.

Słowa kluczowe

PL

prognozowanie energii wiatrowej; sztuczna inteligencja; horyzont jednodniowy

EN

wind energy forecasting; artificial intelligence; day-ahed

• Wydawca: Grupa MEDIUM Sp. z o.o. Sp.k.a.
• Czasopismo: Elektro Info
• Rocznik: 2023
• Tom: nr 9
• Strony: 122--132
• Opis fizyczny: Bibliogr. 30 poz., rys.

Twórcy

autor

Bilski Adrian

• Szkoła Główna Gospodarstwa Wiejskiego

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).