Motivated by observed anomalous features in cycle 23, as inferred from records of photospheric magnetic flux, we develop a flux transport dynamo-based scheme in order to...
Sample Data and Inference Code for “Data-driven solar forecasting enables near-optimal economic decisions” Authors: Zhixiang Dai¹⁺ , Minghao Yin²˒³⁺, Xuanhong Chen⁴⁺ , Boris Bonev¹
The renewable energy industry requires accurate forecasts of intermittent solar irradiance (SI) to effectively manage solar power generation and supply. Introducing the random forests (RFs) model and
This technical note summarizes metrics that have been defined to assess the quality of forecasts of solar irradiance and solar power production forecasting. A set of six base...
