A Short-Term Forecasting of Wind Power Outputs Based on Gradient Boosting Regression Tree Algorithms

With growing interest in sustainability and net-zero emissions, there has been a global trend to integrate wind power into energy grids. However, challenges such as the intermittency of wind energy remain, which leads to a significant need for accurate wind-power forecasting. Therefore, this study f...

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Vydáno v:	Energies (Basel) Ročník 16; číslo 3; s. 1132
Hlavní autoři:	Park, Soyoung, Jung, Solyoung, Lee, Jaegul, Hur, Jin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.01.2023
Témata:	Accuracy Algorithms Alternative energy sources Artificial intelligence Buildings and facilities Data mining Decision trees Electric power production Electricity Forecasting gradient-boosting machine (GBM) Machine learning Neural networks renewable energy Renewable resources Wind farms Wind power wind-power forecasting South Korea Jeju Island
ISSN:	1996-1073, 1996-1073
On-line přístup:	Získat plný text
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