Spatio-temporal prediction of photovoltaic power based on a broad learning system and an improved backtracking search optimization algorithm
Wenhu Tang,
Kecan Huang,
Tong Qian
et al.
Abstract:The accuracy of photovoltaic (PV) power forecasting techniques relies not only on high-quality spatiotemporal data but also on an efficient feature-mining methodology. In this study, a spatiotemporal power forecasting model based on the broad learning system (BLS) and the improved backtracking search optimization algorithm (IBSOA) is proposed. The objective is to enhance the accuracy of PV power predictions while reducing the time-intensive training process associated with an extensive set of broad learning sy… Show more
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