Abstract:Air conditioning systems play a vital role in maintaining comfortable indoor environments, particularly in hot and humid climates. However, these systems consume a significant amount of energy, making load demand forecasting an important aspect of energy management. In this study, the authors propose a novel approach for load demand forecasting in air conditioning systems using a hybrid deep belief network (HDBN) and an improved snake optimization algorithm (ISOA). The HDBN is a machine learning technique that… Show more
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