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.
· International Conference on... · 0 citations