list of papers, code, and other resources
Simulation study of altitude-controlled super-pressure balloons: stratospheric wind forecasting with calibrated uncertainty, trajectory prediction, state estimation and altitude control, on 11 years of ERA5 data.
Short-term wind speed forecasting at Tehachapi, CA from ERA5 reanalysis: persistence to XGBoost to transformers, with an asymmetric wind-aware loss (CIS 5200 final project, UPenn)
Day-ahead wind forecast desk for a UK utility: latest Elexon forecast at auction close, quantified error and calibrated P10/P50/P90 range. React + FastAPI.
GA-PSO-ANFIS-CNN-LSTM hybrid for probabilistic multi-site wind speed forecasting in PyTorch: quantile regression, CRPS, live demo, synthetic data.
WuWeiDL: Daoist-inspired turbulence-gated attention for wind speed forecasting in PyTorch. Wu Wei gate, Feng-Qi encoding, notebook and live demo.
Pronóstico horario de viento en Potrerillos usando modelos estocásticos, regresión y redes neuronales.
Hybrid variational quantum circuit (Conv1D-LSTM + VQC) for wind speed forecasting on SCADA-style data. PyTorch + PennyLane, live browser demo.
Independent reimplementation of RSO-Net: TCN-attention probabilistic wind speed forecasting with bounded self-optimization and human-approved grid proposals.
Independent reimplementation of CBMA-TN-VQC: CNN-BiLSTM-MultiHead Attention + tensor network + VQC for wind forecasting and green hydrogen. PyTorch + PennyLane.
Multi-agent AI chief of staff for wind turbine fleet operations: forecasting, SCADA monitoring, maintenance and grid dispatch agents. Live demo.
Wind turbine predictive maintenance with IoT data, ARIMA/LSTM/CNN-LSTM wind forecasting, a FastAPI service and an n8n workflow. Live demo, synthetic data.
Explainable AI wind speed forecasting: CNN-BiLSTM-Attention in PyTorch explained with SHAP, LIME and attention. Notebook, live demo, synthetic data.
Independent reimplementation of a physics-informed hybrid classical-quantum LSTM tuned by a chaotic Levy-flight quantum-inspired grey wolf optimizer.
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