A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model
Abstract Air conditioning systems are widely used to provide thermal comfort in hot and humid regions, but they MasterTemp Parts also consume a large amount of energy.Therefore, accurate and reliable load demand forecasting is essential for energy management and optimization in air conditioning systems.Within the current paper, a novel model on the