Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 2008 · 71 citations · 7 references
ComputingComputational EngineeringHvac SystemsMachine LearningTime Series AnalysisDeep LearningDistrict HeatingHeating SystemsLoad ForecastingTemperature ForecastingTime Series PredictionHeat Load CalculationHeat Load EstimationLayered Network ArchitectureLoad PredictionNeural Network PredictionNeural Time Series ForecastingRecurrent Neural Network ForecastingRecurrent Neural Networks
As a heat load prediction method in district cooling and heating systems, the efficiency of a layered neural network has been shown, but there is a drawback that its prediction becomes less accurate in periods when the heat load is non-stationary. In this paper, we propose a new heat load prediction method superior to existing methods by using a recurrent neural network to deal with the dynamic variation of heat load and new input data in consideration of characteristics of heat load data.
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Robust-resistant spectrum estimation
R. Douglas Martin, David J. Thomson · Proceedings of the IEEE · 1982 · 199 citations