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Neural networks based predictive control for thermal comfort and energy savings in public buildings

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Academic year: 2021

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Fig. 1. Overview of the experimental set up used.
Fig. 2. Using a set of PMV models in an HVAC control system.
Fig. 3. Input–output variables distribution within the ranges of values considered.
Fig. 5. PMV index fitting on validation data set, obtained with a 5 neuron RBF model.
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