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Machine Learning and Statistical Methods for Time Series Forecasting: a Case Study with Water Demand
  • Mohamed Zerara
Mohamed Zerara
University of Applied Sciences, University of Applied Sciences

Corresponding Author:[email protected]

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Abstract

In this study, machine learning and statistical approaches are used to forecast water demand of a public company which is in charge of distributing potable water. Different methods and algorithms are briefly introduced, then assessed with the water demand case study and discussed in details.