A survey of applications of simple and multiple linear regression in wind power generation

• Autorzy: Mbuli Nhlanhla , Mendu Bongumsa

Identyfikatory

DOI

10.15199/48.2022.03.08

Warianty tytułu

PL

Przegląd zastosowań prostej i wielokrotnej regresji liniowej w energetyce wiatrowej

• Języki publikacji: EN

Abstrakty

EN

This paper presents the results of a survey on the application of simple and multiple linear regression in wind power generation research. Relevant publications were searched for, found, reviewed, and summarised. An increasing trend of number of publications on this topic was found. The main categories of publications forecasting of wind output power, forecasting of wind speed, and wind turbine generator temperature monitoring. The paper presents coincise summaries of publications and details the references identified, all of this in one repository.

PL

W artykule przedstawiono wyniki badań ankietowych dotyczących zastosowania prostej i wielokrotnej regresji liniowej w badaniach energetyki wiatrowej. Odpowiednie publikacje zostały wyszukane, znalezione, zrecenzowane i podsumowane. Stwierdzono rosnący trend liczby publikacji na ten temat. Główne kategorie publikacji: prognozowanie mocy wiatru, prognozowanie prędkości wiatru oraz monitorowanie temperatury generatorów turbin wiatrowych. W pracy przedstawiono zwięzłe streszczenia publikacji i wyszczególnienie zidentyfikowanych pozycji literaturowych, a wszystko to w jednym repozytorium.

Słowa kluczowe

EN

forecasting; multiple linear regression; temperature; wind output power; wind speed

PL

prognozowanie; regresja liniowa; generator wiatrowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 3
• Strony: 32--35
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Mbuli Nhlanhla

• University of South Africa, 28 Pioneer Ave, Florida Park, Roodepoort, 1709, South Africa

• https://orcid.org/0000-0002-5901-4971

autor

Mendu Bongumsa

• Eskom Holdings SoC Limited, Power Road Industrial Area, De Aar, 7000, South Africa

Bibliografia

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• 20. C.R. Jones, B.J. Orr, and J.R. Eiser. (2011) "When is enough, enough? Identifying predictors of capacity estimates for onshore wind-power development in a region of the UK." Energy Policy, 39 (2011), No. 8, 4563-4577.
• 21. K. B. Abdusamad, D. W. Gao, and E. Muljadi, "A condition monitoring system for wind turbine generator temperature by applying multiple linear regression model." 2013 North American Power Symposium (NAPS), Manhattan, KS, USA (2013), 1-8.