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    Esempi di fattibilità e dimensionamento di massima di un impianto di cogenerazione

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    Contiene esempi di impianti di cogenerazione con valutazioni tecnico economich

    Neural networks for energy flows prediction in facility systems

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    A procedure for the short–term prediction of the thermal energy consumption of an hospital is shown in this paper. At first, linear ARX models are built to get information on the influence of the input variables on the output of the system. Therefore, non-linear models based on feedforward neural networks (NNARX) are built using the information provided by the linear estimate. The results obtained from the ARX and NNARX models are compared, concluding that NNARX models provide better results than ARX models, but the analysis of ARX models is necessary to obtain guidelines in the choice of the best regression vector as input for neural models

    Black-box identification of the electromagnetic torque of induction motors: polynomial and neural models

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    In this paper we examine the problem of knowing the value of steady-state electromagnetic torque in induction motors installed in industrial plants. The models derived from two parametric black-box identification techniques (polynomial and neural) are implemented and tested for two motors and compared with the analytical model provided by the equivalent circuit theory. Both provide better performances when compared to the latter; the best performance is given by the neural model
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