Forecasting Domestic Water Consumption Using Bayesian Model

作者: Wojciech Froelich , Ewa Magiera

DOI: 10.1007/978-3-319-39627-9_29

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摘要: In this paper, we address the problem of forecasting domestic water consumption. A specific feature forecasted time series is that consumption occurs at random steps. This substantially limits application standard state-of-the art methods. The other existing models dedicated to predicting in households rely on data collected from questionnaires or diaries, requiring additional effort for gathering data. To overcome those limitations, propose paper a Bayesian model be applied series. proposed theoretical approach has been tested using real-world gathered an anonymous household.

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