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The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
Airborne Wind Energy Resource Analysis tool (AWERA) is meant to provide wind resource classification/representation and power harvesting estimation for AWES. It builds on wind profile clustering techniques used by Mark Schelbergen (TU Delft).
This model is use to assess the suitability of current and future locations for commercial wind farm construction across the Conterminous United States (CONUS). Aggregated datasets have been prepared for all states and the CONUS. Model script: "LR_Equation_Code.py", "CA_Model_Code.py". Model instructions: "Model Description and Instructions.pdf".