A Thermodynamical Model Study for an Energy Saving Algorithm
A local Spanish company that produces electric heaters needs an energy saving device to be integrated with the heaters. It was proven that a hybrid artificial intelligent systems (HAIS) could afford the energy saving reasonably, even though some improvements must be introduced. One of the critical elements in the process of designing an energy saving system is the thermodynamical modeling of the house to be controlled. This work presents a study of different first order techniques, some taken from the literature and other new proposals, for the prediction of the thermal dynamics in a house. Finally it is concluded that a first order prediction system is not a valid prediction model for such an energy saving system.
KeywordsFuzzy systems Hybrid Artificial Intelligence Systems Real World Applications Thermodynamical Modlling Electric Energy saving
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- 3.Holland, J.H.: Adaptation in Natural and Artificial Systems, vol. xx. University of Michigan Press, Ann Arbor (1975)Google Scholar
- 7.Lu, T., Viljanen, M.: Artificial neural network models for indoor temperature prediction: investigations in two buildings. Neural Computing & Applications 16(1), 81–89 (2007)Google Scholar
- 9.Thomas, B., Soleimani-Mohseni, M.: Artificial neural network models for indoor temperature prediction: investigations in two buildings. Neural Computing & Applications, 16(1):81–89 (2007)Google Scholar
- 10.Villar, J.R., de la Cal, E.A., Sedano, J.: A fuzzy logic based efficient energy saving approach for domestic heating systems. Integrated Computer-Aided Engineering (in press, 2008)Google Scholar