Adaptive PSO-Optimised Random Forest for Power Output Prediction in Combined Cycle Power Plants
A hybrid model (RF and PSO) is proposed to predict power generation in combined-cycle power plants. The study was conducted using 9,568 operational records collected over six years, with ambient temperature, atmospheric pressure, relative humidity, and exhaust vacuum as input conditions. Upon examining the dataset for...