Abstract:Buildings consume over 40% of the world’s total energy supply, and their occupancy is increasingly recognized as a major performance indicator due to its effect on a building’s energy costs and occupant satisfaction. In this paper, a hybrid model is created to estimate future loads of a building with high efficiency and accuracy. The proposed model is composed of two - connected in a cascade - artificial neural networks, where the outcomes of the first network are fed into the second one, which in its turn pe… Show more
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