Enhancing the reliability of solar PV power modelling through HBA-optimized variational autoencoder and GRU neural networks
Solar photovoltaic (SPV) technology is gaining prominence due to its sustainability and minimal carbon footprint. However, the intermittent nature of SPV systems poses a challenge to widespread adoption. Accurate forecasting of SPV power is essential, relying heavily on high-quality data. Meteorological parameters from...