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An Hour-Ahead PV Power Forecasting Method Based on an RNN-LSTM Model for Three Different PV Plants

Incorporating solar energy into a grid necessitates an accurate power production forecast for photovoltaic (PV) facilities. In this research, output PV power was predicted at an hour ahead on yearly basis for three different PV plants based on polycrystalline (p-si), monocrystalline (m-si), and thin...

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Main Authors: Muhammad Naveed Akhter, Saad Mekhilef, Hazlie Mokhlis, Ziyad M. Almohaimeed, Munir Azam Muhammad, Anis Salwa Mohd Khairuddin, Rizwan Akram, Muhammad Majid Hussain
Format: Artigo
Language:Inglês
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
hour-ahead prediction
PV power forecasting
RNN-LSTM
deep learning
Online Access:https://www.mdpi.com/1996-1073/15/6/2243
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