TechRxiv
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Machine Learning and Statistical Methods for Time Series Forecasting: a Case Study with Water Demand

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posted on 26.07.2021, 21:28 by Mohamed ZeraraMohamed Zerara
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.

Funding

IsDB KHZ-1023

History

Email Address of Submitting Author

mohammed.zerara@hesge.ch

ORCID of Submitting Author

0000-0001-6949-7826

Submitting Author's Institution

University of Applied Sciences

Submitting Author's Country

Switzerland