Water demand forecasting by trend and harmonic analysis

• Autorzy: Kozłowski E. , Kowalska B. , Kowalski D. , Mazurkiewicz D.

Identyfikatory

DOI

10.1016/j.acme.2017.05.006

• Języki publikacji: EN

Abstrakty

EN

Water demand forecasting in water supply systems is one of the basic strategic management tasks of water supplying companies. This is done using specially designed water consumption models which generate data necessary for planning operational activities. A high number of water demand forecasting methods proposed in the literature points to the complexity and significance of the problem for current operation of water supplying companies. However, it must be observed that no universal method applicable to any water supply system has been developed so far. In addition to this, there is no method which could be considered referential relative to other methods. For this reason, it is necessary to continue the research on forecasting methods enabling effective forecasts based on suitably selected sets of input quantities. This paper proposes a solution for water consumption forecasting in a water supply system, wherein hourly water consumption is determined by trend analysis and harmonic analysis. Trend analysis consists in estimating parameters of models for individual phases of a cycle, while harmonic analysis is based on the assumption that a time series consists of sine and cosine waves with different frequencies known as harmonics. In addition, relationships between structural parameters of individuals harmonics and ambient temperature are investigated using the least squares method.

Słowa kluczowe

EN

forecasting methods; water supply system; time series; trend analysis; harmonic analysis

PL

metody prognozowania; sieć wodociągowa; szereg czasowy; analiza harmoniczna

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2018
• Tom: Vol. 18, no. 1
• Strony: 140--148
• Opis fizyczny: Bibliogr. 43 poz., tab., wykr.

Twórcy

autor

Kozłowski E.

• Lublin University of Technology, Faculty of Management, Department of Quantitative Methods in Management, Nadbystrzycka 38D, 20-618 Lublin, Poland

autor

Kowalska B.

• Lublin University of Technology, Faculty of Environmental Engineering, Department of Water Supply and Wastewater Disposal, Nadbystrzycka 40B, 20-618 Lublin, Poland

autor

Kowalski D.

• Lublin University of Technology, Faculty of Environmental Engineering, Department of Water Supply and Wastewater Disposal, Nadbystrzycka 40B, 20-618 Lublin, Poland

autor

Mazurkiewicz D.

• Lublin University of Technology, Faculty of Mechanical Engineering, Department of Production Engineering, Nadbystrzycka 36, 20-618 Lublin, Poland

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)