Repository of TBU publications (Univerzita Tomase Bati ze Zline) · 2011 · 11 citations · 4 references
Open access
EngineeringComputational EngineeringIndustrial EngineeringDesign OptimizationMachine LearningOptimizationBuilding Energy ModelingBuilding Heat Load CalculationDistrict HeatingEnergy Efficiency In HeatingEnergy System ModelingEvolutionary ComputationAccuracyAgglomerationHeating ModelingHeating System OptimizationIndustrial AgglomerationNeural Network ModelingPower ConsumptionPower Consumption Modeling
This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Artificial Neural Network (ANN) synthesis and optimization. AP is successfully applied here to evolve such ANN which is able to approximate heating power consumption of an agglomeration, in dependence on time and atmospherics temperature, more accurately than standard methods. An experiment described in the paper was realized on real life data from Most agglomeration and heating plant situated in Komořany, Czech Republic. Resulted ANN brings 19% increase of approximation accuracy.
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