Abstract: Hybrid concentrating solar power (CSP) plants with thermal energy storage (TES) and biomass backup enhance solar energy reliability and efficiency. TES provides energy during low sunlight or high demand, while biomass provides continuous heat generation when TES is depleted. Therefore, the current study developed three tree optimizers (fine, medium, and coarse) to predict the … Continue reading Published at Nature – Artificial intelligence models development for profitability factor prediction in concentrated solar power with dual backup systems