Craig Collier

Deep learning and process understanding for data-driven Earth system science

Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Solar forecasting methods for renewable energy integration

Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting

Short-term wind speed prediction model based on GA-ANN improved by VMD

Machine learning methods for solar radiation forecasting: A review

Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather

Solar Forecasting: Methods, Challenges, and Performance

Knowledge Is Power: Efficiently Integrating Wind Energy and Wind Forecasts

A high-resolution, cloud-assimilating numerical weather prediction model for solar irradiance forecasting