Abstract
Energy saving systems are needed to reduce the energy taxes, so the electric energy remains balanced. In Spain, a local company that produces electric heaters needs an energy saving device to be integrated with the heaters. The building regulations in Spain introduce five different climate zones, so such device must meet all of them. In previous works the uncertainty in the process was shown, and the different configurations that must be included to accomplish the Spanish regulations were established. It was proven that a hybrid artificial intelligent systems (HAIS) could afford the energy saving reasonably, even though some improvements must be introduced. This work proposes a modified solution to relax the hardware restrictions and to solve the lack of distribution observed. The modified energy saving HAIS is detailed and compared with that obtained in previous works.
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Villar, J.R., de la Cal, E., Sedano, J. (2008). Minimizing Energy Consumption in Heating Systems under Uncertainty. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87656-4_72
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DOI: https://doi.org/10.1007/978-3-540-87656-4_72
Publisher Name: Springer, Berlin, Heidelberg
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