Neural networks improving solar power forecasting
An international research team has developed a new approach for solar power forecasting that combines neural networks and pattern sequences for the first time. The performance of the new Pattern Sequence Neural Network (PSNN) was tested on an Australian data set that includes information from two years of forecasts. It can be used with different clustering and cluster-sequence extraction algorithms, and can be applied to multiple related time sequences
Dec 11, 2019 // Technology, Plants, Large-Scale, Commercial, Residential, Australia, Oceania, PSNN, PSF, Neural networks