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Patrice Leclaire

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Conference Jul 2026

Photovoltaic Power Forecasting: Benchmarking Deep Learning Architectures for Scenario-Based Production Scheduling

Accurate short-term photovoltaic (PV) power fore-casting is important for energy-aware production planning in manufacturing environments integrating renewable sources. This paper benchmarks six deep learning architectures—LSTM, BiLSTM, GRU, CNN–LSTM, CNN–BiLSTM, and CNN–GRU—for PV power forecasting at 30-minute resolut...

Assiya Zahid, Lamia Hammadi, Patrice Leclaire et al. · 0 citations

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