Los Angeles CA (SPX) Apr 30, 2026

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of stand-alone photovoltaic systems. The approach uses a bidirectional long short-term memory hybrid network to forecast solar irradiance and then applies the forecasted data to estimate the optimum tilt angle of photovoltaic panels, helping increase PV output power.
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