Porth Ymchwil

An empirical investigation of Water Consumption Forecasting methods

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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An empirical investigation of Water Consumption Forecasting methods. / Karamaziotis, Panagiotis I.; Raptis, Achilleas ; Nikolopoulos, Konstantinos et al.
Yn: International Journal of Forecasting, Cyfrol 36, Rhif 2, 06.2020, t. 588-606.

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

HarvardHarvard

Karamaziotis, PI, Raptis, A, Nikolopoulos, K, Litsiou, K & Assimakopoulos, V 2020, 'An empirical investigation of Water Consumption Forecasting methods', International Journal of Forecasting, cyfrol. 36, rhif 2, tt. 588-606. https://doi.org/10.1016/j.ijforecast.2019.07.009

APA

Karamaziotis, P. I., Raptis, A., Nikolopoulos, K., Litsiou, K., & Assimakopoulos, V. (2020). An empirical investigation of Water Consumption Forecasting methods. International Journal of Forecasting, 36(2), 588-606. https://doi.org/10.1016/j.ijforecast.2019.07.009

CBE

Karamaziotis PI, Raptis A, Nikolopoulos K, Litsiou K, Assimakopoulos V. 2020. An empirical investigation of Water Consumption Forecasting methods. International Journal of Forecasting. 36(2):588-606. https://doi.org/10.1016/j.ijforecast.2019.07.009

MLA

Karamaziotis, Panagiotis I. et al. "An empirical investigation of Water Consumption Forecasting methods". International Journal of Forecasting. 2020, 36(2). 588-606. https://doi.org/10.1016/j.ijforecast.2019.07.009

VancouverVancouver

Karamaziotis PI, Raptis A, Nikolopoulos K, Litsiou K, Assimakopoulos V. An empirical investigation of Water Consumption Forecasting methods. International Journal of Forecasting. 2020 Meh;36(2):588-606. Epub 2019 Tach 21. doi: 10.1016/j.ijforecast.2019.07.009

Author

Karamaziotis, Panagiotis I. ; Raptis, Achilleas ; Nikolopoulos, Konstantinos et al. / An empirical investigation of Water Consumption Forecasting methods. Yn: International Journal of Forecasting. 2020 ; Cyfrol 36, Rhif 2. tt. 588-606.

RIS

TY - JOUR

T1 - An empirical investigation of Water Consumption Forecasting methods

AU - Karamaziotis, Panagiotis I.

AU - Raptis, Achilleas

AU - Nikolopoulos, Konstantinos

AU - Litsiou, Konstantina

AU - Assimakopoulos, Vassilis

PY - 2020/6

Y1 - 2020/6

N2 - Many regions on earth everyday face limitations in the quantity and quality of available water resources. To that end, it is necessary to implement reliable methodologies for water consumption forecasting, that will lead to better management and planning of water resources. In this research, we analyse a first-time used large database containing data from 2 million water meters in 274 unique postal codes, in one of the most densely populated areas in Europe, which faces instances of droughts and overconsumption in hot summer months. With the assistance of R programming language, we built and tested three alternative forecasting methodologies, employing univariate forecasting techniques including a machine-learning algorithm, with very promising results

AB - Many regions on earth everyday face limitations in the quantity and quality of available water resources. To that end, it is necessary to implement reliable methodologies for water consumption forecasting, that will lead to better management and planning of water resources. In this research, we analyse a first-time used large database containing data from 2 million water meters in 274 unique postal codes, in one of the most densely populated areas in Europe, which faces instances of droughts and overconsumption in hot summer months. With the assistance of R programming language, we built and tested three alternative forecasting methodologies, employing univariate forecasting techniques including a machine-learning algorithm, with very promising results

U2 - 10.1016/j.ijforecast.2019.07.009

DO - 10.1016/j.ijforecast.2019.07.009

M3 - Article

VL - 36

SP - 588

EP - 606

JO - International Journal of Forecasting

JF - International Journal of Forecasting

SN - 0169-2070

IS - 2

ER -