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Predictive models of the energy consumption in intelligent buildings

Abstract : In this work we present a novel approach to energy saving in buildings through the identification of the relevant parameters and the application of Soft Computing techniques to generate predictive models of energy consumption in buildings. To verify the feasibility of this proposal, we apply our approach to a reference building for which we have contextual data from a complete year of monitoring. First, we characterize the building in terms of its contextual features and energy consumption, and then select the most appropriate techniques to generate the most accurate model of our reference building charged with estimating the energy consumption, given a concrete set of inputs.
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Submitted on : Friday, March 13, 2020 - 10:17:47 PM
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  • HAL Id : hal-02508217, version 1



M Fratu, Jean-Paul Becar, Jean-Charles Canonne. Predictive models of the energy consumption in intelligent buildings. Bulletin of the Transilvania University of Brasov, Series I : Engineering Sciences, University of Brasov, 2016, 9 (2), pp.47-52. ⟨hal-02508217⟩



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