Stacking Ensemble Method with the RNN Meta-Learner for Short-Term PV Power Forecasting

Stacking Ensemble Method with the RNN Meta-Learner for Short-Term PV Power Forecasting

Photovoltaic (PV) power forecasting urges in economic and secure operations of power systems. To avoid an inaccurate individual forecasting model, we propose an approach for a one-day to three-day ahead PV power hourly forecasting based on the stacking ensemble model with a recurrent neural network...

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Bibliographic Details
Main Authors: Andi A. H. Lateko, Hong-Tzer Yang, Chao-Ming Huang, Happy Aprillia, Che-Yuan Hsu, Jie-Lun Zhong, Nguyễn H. Phương
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Energies
Subjects:
ensemble forecasting
recurrent neural network
PV power forecasting
clustering method
Online Access:https://www.mdpi.com/1996-1073/14/16/4733

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https://www.mdpi.com/1996-1073/14/16/4733

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