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Proceedings of BSO Conference 2018: Fourth Conference of IBPSA-England

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A Stochastic Data-centric Model for Quantification of End-use Energy Demand in Buildings

Rebecca Ward, Ruchi Choudhary, John Aston

Abstract: The temporal and spatial resolution of end-use energy demand monitoring in buildings is increasing, yet there are no established methodologies for interpreting the applicability of the monitored data. In this paper a Functional Data Analysis approach has been applied to end-use demand data for a non-residential building in Bangalore, India. The method yields functional Principal Components across all data and a unique set of scores for each different end-use. These parameters are the basis of a data-centric model of energy demand which draws on the underlying structure of the data in order to simulate the inherent stochasticity of the demand. It represents a step forward towards understanding and quantifying the variability of end-use energy demand in non-domestic buildings.
Pages: 307 - 314
Paper:
bso2018_3C-2