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A. M. Salih

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Open access Sep 2026

Bayesian-optimized LSTM networks for accurate day-ahead photovoltaic power prediction

Accurate day-ahead photovoltaic (PV) power forecasting is essential for effective energy management and grid balancing. This study proposes a Bayesian-optimized long short-term memory (LSTM) network for day-ahead PV power prediction. The model was evaluated using a PV-meteorological time-series dataset collected from a...

Enas Ali Ahmed, Muna Hassan Hussein, A. M. Salih · 0 citations

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