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Enhanced Random Forest Model for Robust Short-Term Photovoltaic Power Forecasting Using Weather Measurements

Short-term Photovoltaic (PV) Power Forecasting (STPF) is considered a topic of utmost importance in smart grids. The deployment of STPF techniques provides fast dispatching in the case of sudden variations due to stochastic weather conditions. This paper presents an efficient data-driven method base...

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Principais autores: Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Shady S. Refaat, Fakhreddine S. Oueslati
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2021-07-01
סדרה:Energies
נושאים:
smart grid
Photovoltaic (PV) Power Forecasting
weather sensors
random decision forest
feature importance
energy management
גישה מקוונת:https://www.mdpi.com/1996-1073/14/13/3992
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