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Journal articles on the topic 'Water Consumption'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Komarenko, Oleksandr, and Ivan Hrytsyk. "PSOC4 Based Intelligent Water Consumption Meter." Advances in Cyber-Physical Systems 4, no. 2 (2019): 75–83. http://dx.doi.org/10.23939/acps2019.02.075.

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2

Yogesh R, Pawar, and Shrikant R Kate. "Assessment of Water Consumption in Construction." International Journal of Science and Research (IJSR) 10, no. 7 (2021): 710–12. https://doi.org/10.21275/mr21710230015.

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3

TSUDA, Morimasa, and Yoichi IWAMI. "ESTIMATION OF DAILY HOUSEHOLD WATER CONSUMPTION USING METERED WATER CONSUMPTION DATA." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 72, no. 6 (2016): II_79—II_85. http://dx.doi.org/10.2208/jscejer.72.ii_79.

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4

Özlem Vurmaz, Merve, and Hülya Boyacioglu. "Airport Water Consumption Footprinting." Environment and Ecology Research 6, no. 6 (2018): 519–24. http://dx.doi.org/10.13189/eer.2018.060601.

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5

Vertommen, Ina, Roberto Magini, and Maria da Conceição Cunha. "Scaling Water Consumption Statistics." Journal of Water Resources Planning and Management 141, no. 5 (2015): 04014072. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000467.

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6

Zhang, Xinxin, Junguo Liu, Xu Zhao, et al. "Linking physical water consumption with virtual water consumption: Methodology, application and implications." Journal of Cleaner Production 228 (August 2019): 1206–17. http://dx.doi.org/10.1016/j.jclepro.2019.04.297.

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7

Edmonds, Caroline J., Rosanna Crombie, Haiko Ballieux, Mark R. Gardner, and Lynne Dawkins. "Water consumption, not expectancies about water consumption, affects cognitive performance in adults." Appetite 60 (January 2013): 148–53. http://dx.doi.org/10.1016/j.appet.2012.10.016.

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8

Corrêa Kuntz, Larissa Karoline, Karoline Carvalho Carvalho Dornelas, Rômulo Marçal Gandia, Urandi João Rodrigues Júnior, and Milene Carvalho Bongiovani Roveri. "Water footprint in civil construction: use and impacts of masonry." Gaia Scientia 17, no. 1 (2023): 127–52. http://dx.doi.org/10.22478/ufpb.1981-1268.2023v17n1.63061.

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The water footprint is an indicator of water consumption that considers its appropriation directly and indirectly. The aim of this research was to calculate the blue water footprint (WFblue) of three different masonry (perforated ceramic block - PCB; solid ceramic brick - SCB and concrete block - CB), of way to identify the masonry that has the best water performance and which inputs contribute significantly. The necessary inputs for the construction of one square meter of each masonry were identified and quantified, considering or not mortar coating. After collecting data on water consumption

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9

Meireles, I., V. Sousa, B. Bleys, and B. Poncelet. "Domestic hot water consumption pattern: Relation with total water consumption and air temperature." Renewable and Sustainable Energy Reviews 157 (April 2022): 112035. http://dx.doi.org/10.1016/j.rser.2021.112035.

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10

Barraj, Leila, Carolyn Scrafford, Jennifer Lantz, Carrie Daniels, and Gary Mihlan. "Within-day drinking water consumption patterns: Results from a drinking water consumption survey." Journal of Exposure Science & Environmental Epidemiology 19, no. 4 (2008): 382–95. http://dx.doi.org/10.1038/jes.2008.28.

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11

van der Donck, Jacques C. J., Jurrian Bakker, Jeroen A. Smeltink, Robin B. J. Kolderweij, Ben C. M. B. van der Zon, and Marc H. van Kleef. "Physical Chemistry of Water Droplets in Wafer Cleaning with Low Water Use." Solid State Phenomena 219 (September 2014): 134–37. http://dx.doi.org/10.4028/www.scientific.net/ssp.219.134.

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Reduction of water and energy consumption is of importance for keeping viable industry in Europe. In 2012 the Eniac project Silver was started in order to reduce water and energy consumption in the semiconductor industry by 10% [1]. Cleaning of wafers is one of the key process steps that require a high volume of Ultra-Pure Water (UPW). For the production of a single wafer more than 120 cleaning steps may be required [2]. Furthermore, the reduction of the feature size makes devices more vulnerable to damage by mechanical action. This trend gives rise to the need for new, gentler cleaning proces

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12

Amin, R., S. G. Rajagukguk, and F. T. Wulandari. "Clean water consumption of the coal mining operations in East Kalimantan province." IOP Conference Series: Earth and Environmental Science 1422, no. 1 (2024): 012005. https://doi.org/10.1088/1755-1315/1422/1/012005.

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Abstract Water consumption of mining workers is a crucial factor in the environmental impact assessment but is often overlooked by the mining company. In addition, water consumption for mining activities is not reflected in some domestic water consumption standards such as SNI and PUPR standards. Therefore, calculating the rate of clean water demand is important to estimate water supply, organize and manage water distribution, and determine the waste water treatment plant (WWTP) capacity. The purpose of this study was to identify clean water consumption of mine workers at the contractor Lati S

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13

Pukhkal, Viktor, and Boris Jurmanov. "Selection of Hot Water Supply Metering Devices for Residential Buildings." Applied Mechanics and Materials 725-726 (January 2015): 1267–72. http://dx.doi.org/10.4028/www.scientific.net/amm.725-726.1267.

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Experimental measurements of actual hot water consumption in residential building have been performed. It was established that distribution of hot water for domestic needs has random character and constitutes non-stationary process. It was proposed for hot water supply systems calculation to employ “rated mode of water consumption”. Rated mode is a simplified mathematical description of entire ordered collection of hourly consumptions anticipated during rated period of hot water supply system operation. Most precise description of water consumption rated mode may be obtained with coefficient o

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14

Dr. S. Satheesbabu, Dr. S. K. Somasundaram, Dr A. Thomas Paul Roy,. "Water consumption analysis using IoT." Psychology and Education Journal 58, no. 1 (2021): 4302–6. http://dx.doi.org/10.17762/pae.v58i1.1499.

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Water is a fundamental asset for people, and its administration is a central point of contention. To conserve water, this system improves the expanded use of water. Internet of things is arrangement of interrelated processing gadgets, computing entities, vehicles, home machines and different things installed with electronic chips and sensors. The system is planned utilizing Nodemcu, ESP8266 and sensors. ESP8266, which is a less cost cloud microchip. This framework will comprise of a water pipe with water flow meter associated with it and a Nodemcu board and ESP8266 associated with it. First we

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15

Stewart, Jacquiline, Nicole Davis, and Linda Roberts. "Educating Customers on Water Consumption." Water e-Journal 5, no. 2 (2020): 1–13. http://dx.doi.org/10.21139/wej.2020.008.

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16

Pisarenko, P. V., and L. S. Mishukova. "Water consumption of winter wheat." Agrarian innovations, no. 1 (2020): 63. http://dx.doi.org/10.32848/agrar.innov.2020.1.10.

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17

Alhumoud, Jasem M. "Water consumption evaluation in Kuwait." Journal of Water Supply: Research and Technology-Aqua 51, no. 8 (2002): 483–88. http://dx.doi.org/10.2166/aqua.2002.0042.

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18

NAGAI, Masaru, Kouichi HACHIMURA, and Kiyoshi TAKAHASHI. "Water Consumption in Suckling Pigs." Journal of Veterinary Medical Science 56, no. 1 (1994): 181–83. http://dx.doi.org/10.1292/jvms.56.181.

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19

Hirrel, Timothy D. "Automating Water Consumption Data Manipulation." Journal - American Water Works Association 78, no. 8 (1986): 49–52. http://dx.doi.org/10.1002/j.1551-8833.1986.tb05798.x.

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20

Pereira, Maria Clara Nogueira, Kayo Renato da Costa de Castro, José Sampaio de Oliveira, and Gustavo Pinheiro. "Prototype for water consumption control." Journal of Engineering Research 3, no. 34 (2023): 2–7. http://dx.doi.org/10.22533/at.ed.3173342326092.

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21

Pusztafalvi, H., A. Szabó, T. Barcsi, I. Boncz, and O. Máté. "Examination of Water Consumption: Knowledge About Water Consumption In Population of Bátya And Pécs." Value in Health 18, no. 7 (2015): A563. http://dx.doi.org/10.1016/j.jval.2015.09.1839.

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22

Chen, An Qiang, Gang Cai Liu, and Dan Zhang. "A Study on the Relationship between Crown Characteristics, Fractal Dimension and Water Consumption of Poplars." Advanced Materials Research 255-260 (May 2011): 2919–24. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.2919.

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The relationships among crown characteristics, crown fractal dimensions and water consumption were studied in seven 5-year-old poplar clones that were selected from the nursery garden of the Gaomi Forestry Bureau in China. The closest positive correlation was between single tree leaf area (TLA) and water consumption followed by the tree crown area (TCA). The leaf area index (LAI) and crown layer density (CLD) were positively correlated with water consumption but were not significantly correlated. There was a negative correlation between the crown shape ratio (CSR) of the L35, NL895 and I-107 p

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23

DAVYDENKO, N., and S. KUNYTSKYI. "DEVELOPMENT OF A PROTOTYPE DATABASE OF INFORMATION TECHNOLOGY FOR MONITORING WATER CONSUMPTION FROM THE WATER SUPPLY NETWORK OF SETTLEMENTS." Herald of Khmelnytskyi National University. Technical sciences 307, no. 2 (2022): 53–57. http://dx.doi.org/10.31891/2307-5732-2022-307-2-53-57.

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The availability of reliable and systematic information on water consumption modes is the basis for optimizing the operation modes of water supply facilities. The necessity of water consumption monitoring is substantiated in order to detect changes in the operation conditions of water supply system facilities due to the influence of seasonal and social factors. The daily water consumption graph was used as an indicator of the operation mode of water supply facilities. The procedure of analysis of actual water consumption graphs is the methodological basis of the proposed information technology

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24

Graydon, Ryan Christopher, Paola Andrea Gonzalez, Abdiel Elias Laureano-Rosario, and Guillermo Reginald Pradieu. "Bottled water versus tap water." International Journal of Sustainability in Higher Education 20, no. 4 (2019): 654–74. http://dx.doi.org/10.1108/ijshe-01-2019-0003.

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Purpose Bottled water consumption continues to break records worldwide and its environmental impact is often underestimated by the consumer. Many factors affect individuals’ choices to consume tap water and bottled water including perceived health risks and water quality. The University of South Florida (USF) has joined a nationwide initiative to become carbon-neutral, and reducing bottled water consumption was a chosen strategy. The purpose of this study was to assess the risk perceptions and drinking water choices of the USF-Tampa campus community. Design/methodology/approach A sample of 561

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25

Kashkoush, Ismail, and R. Novak. "Optimization of Deionized Water Consumption in Wafer Wet Processing." Solid State Phenomena 65-66 (November 1998): 49–52. http://dx.doi.org/10.4028/www.scientific.net/ssp.65-66.49.

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26

Chao, Fang-Lin, Ching-Lin Lu, and Je-Ming Lin. "Ergonomic Study for Elderly Aquatic Exercises with Less Water Consumption." International Journal of Materials, Mechanics and Manufacturing 7, no. 2 (2019): 95–99. http://dx.doi.org/10.18178/ijmmm.2019.7.2.438.

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27

Tariq, Muhammad Atiq Ur Rehman, Riley Raimond Damnics, Zohreh Rajabi, Muhammad Laiq Ur Rahman Shahid, and Nitin Muttil. "Identification of Major Inefficient Water Consumption Areas Considering Water Consumption, Efficiencies, and Footprints in Australia." Applied Sciences 10, no. 18 (2020): 6156. http://dx.doi.org/10.3390/app10186156.

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Due to population growth, climatic change, and growing water usage, water scarcity is expected to be a more prevalent issue at the global level. The situation in Australia is even more serious because it is the driest continent and is characterized by larger water footprints in the domestic, agriculture and industrial sectors. Because the largest consumption of freshwater resources is in the agricultural sector (59%), this research undertakes a detailed investigation of the water footprints of agricultural practices in Australia. The analysis of the four highest water footprint crops in Austra

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28

Ethem Karadirek, I. "An experimental analysis on accuracy of customer water meters under various flow rates and water pressures." Journal of Water Supply: Research and Technology-Aqua 69, no. 1 (2019): 18–27. http://dx.doi.org/10.2166/aqua.2019.031.

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Abstract Apparent losses are mainly due to metering errors in well-managed water supply systems. There are many types of water meters based on mechanisms to measure flow passing through. Therefore, selection of water meter type is important as meter type effects measurement accuracy. In this study, a total of 50 domestic water meters were tested under varying flow rates and different water pressures. Water consumptions of end-users show temporal changes depending on the life style of consumers. Flow rates passing through the water meter and water consumption profiles affect water meter accurac

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29

Saihi, A., and A. Alzaatreh. "Comparing the utilities consumptions in Dubai per category and community: MANOVA and cluster analysis approaches." IOP Conference Series: Earth and Environmental Science 958, no. 1 (2021): 012022. http://dx.doi.org/10.1088/1755-1315/958/1/012022.

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Abstract UAE is marked by the increasing demand for water and electricity due to demographic, environmental and economic factors, coupled with the dependence on water desalination process, which is costly, consumes a lot of energy and is non-environmentally friendly. Like most of the authorities in UAE, Dubai Electricity and Water Authority is facing the challenges of balancing supply with demand and responding to consumer requirements, from one side, and addressing the continuously increasing consumption and slowing it down from another side. Therefore, policy makers can benefit from statisti

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30

Zhao, Jinjin. "The cubic water Kuznets curve: patterns of urban water consumption and water policy effects." Water Policy 19, no. 1 (2016): 28–45. http://dx.doi.org/10.2166/wp.2016.146.

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Utilizing panel data collected in 27 countries from 1960 to 2010, we demonstrate that the relationship between per capita urban water consumption and per capita gross domestic product exhibits an N-shaped pattern. Following the environmental Kuznets curve literature, this relationship can be named the cubic water Kuznets curve. We also demonstrate that water policies significantly influence per capita urban water consumption, which implies that appropriate policy interventions might allow developing countries to achieve economic development with less per capita water consumption.

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31

Rofi, A. "Water Pollution and Its Correlation to Mineral Water Consumption Expenditure." IOP Conference Series: Earth and Environmental Science 1313, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1755-1315/1313/1/012012.

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Abstract Water is a basic need for human life. However, challenges of access to clean and healthy water are increasingly being by pollution. This condition forces households to pay for clean and healthy mineral water. This study examines the distribution of water pollution levels and household mineral water consumption in Indonesia. It examines the relationship between water pollution and the spending the household mineral water consumption. The data used in this study are water pollution level data for 2021 from the raw data of PODES 2021 and spending of consumption the household mineral wate

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32

Matos, Cristina, António Cunha, Francisco Pereira, et al. "Characterization of Water and Energy Consumptions at the End Use Level in Rural and Urban Environments: Preliminary Results of the ENERWAT Project." Urban Science 3, no. 1 (2019): 8. http://dx.doi.org/10.3390/urbansci3010008.

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The characterization of water and energy consumptions is essential in order to define strategies for their rational use. The way these resources are used in households is the path for efficient and rational management, interdependent from each other. It is believed that there are significant differences between the patterns of water and energy consumption in rural and urban areas, where influencing factors should also be identified. This article aims to provide some preliminary results of a research project named ENERWAT, with the main goal to characterize the relation between water and energy

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33

Otaki, Yurina, Hidehito Honda, and Kazuhiro Ueda. "Historical Self-Comparison of Water Consumption as a Water Demand Management Tool." Water 11, no. 4 (2019): 844. http://dx.doi.org/10.3390/w11040844.

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This study aimed to identify effective presentation methods used for historical self-comparisons of residential water consumption that will lead to the efficient use of water. To compare each household’s current and previous water consumption, illustrations of water droplets were used as feedback every other week for five months, with the number of water droplets indicating an increase or decrease in water consumption. When only using the same blue water droplets, there was no change in water consumption. However, when using yellow and red droplets in cases of increased water use, we observed

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34

Meletis, Zoë A., and Lisa M. Campbell. "Call It Consumption! Re-Conceptualizing Ecotourism as Consumption and Consumptive." Geography Compass 1, no. 4 (2007): 850–70. http://dx.doi.org/10.1111/j.1749-8198.2007.00048.x.

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35

Travassos, Kaline Dantas, Hans Raj Gheyi, Helder Morais Mendes Barros, et al. "Water consumption of the sunflower crop irrigatedwith saline water." DYNA 86, no. 208 (2019): 221–26. http://dx.doi.org/10.15446/dyna.v86n208.73203.

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The objective was to evaluate the water consumption of sunflower cultivars irrigated with saline waters. The experimental design utilized was in randomized blocks of a 2 x 4 factorial arrangement. This was composed of two levels of electrical conductivity (ECw) of irrigation water (N1 - 0.6 and N2 - 3.0 dS m-1 at 25 ºC) and four cultivars of sunflower (C1 - Helio 863, C2 - Embrapa 122-V2000, C3 - Catissol 01 and C4 - Multissol), with three replications, each of them with three plants totaling 72 experimental units. There was a reduction in water consumption of sunflower cultivars irrigated wit

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36

Davenport, Matt. "Dial Down Water Use: Technology To Reduce Water Consumption." Sustainability: The Journal of Record 6, no. 1 (2013): 15–17. http://dx.doi.org/10.1089/sus.2013.9898.

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37

Liu, Moucheng, Lun Yang, and Qingwen Min. "Water-saving irrigation subsidy could increase regional water consumption." Journal of Cleaner Production 213 (March 2019): 283–88. http://dx.doi.org/10.1016/j.jclepro.2018.12.152.

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38

Widiastuti, Maria M. D., and Paulus Mangera. "STUDI POLA KONSUMSI AIR DOMESTIK MASYARAKAT MULTIETNIS DI KELURAHAN KARANG INDAH DISTRIK MERAUKE." KRITIS 27, no. 1 (2020): 1–15. http://dx.doi.org/10.24246/kritis.v27i1p1-15.

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The purposes of this study are: (1) To estimate the real number of people who live- in Kelurahan Karang Indah; (2) To analyze the pattern of domestic water consumption of Kelurahan Karang Indah community; (3) To analyze the ethnic characteristics of the domestic water consumption patterns; (4) To analyze the adaptation and mitigation community of the clean water. The results showed that the real number of people who live in Kelurahan Karang Indah was two times higher than the statistic data. The water consumed for domestic activities was 51.6 liters/day/capita which is higher than Indonesian N

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39

S. Tuyor, Verlie, and Aristeo C. Salapa. "Consumption Pattern Analysis of Water Consumption For Commercial Connections in Davao City." International Journal of Research and Innovation in Social Science VII, no. III (2023): 157–62. http://dx.doi.org/10.47772/ijriss.2023.7301.

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This study applied the fundamental time series analysis to evaluate the distribution, trend, and later forecast of water consumption for commercial connections by classification of Davao City Water District (DCWD). As such, this study examined the relationship between time and the water consumption of Davao City’s commercial connections over time. The monthly water consumption of commercial connections, categorized by classification per water source systems, was the data source for this study, which ran from January 2015 to December 2019. The four categories of commercial connections’ time ser

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40

Takizawa, S., C. Iwasaki, and K. Oguma. "Effects of water tariff structures on water demand in Tokyo metropolis." Water Supply 5, no. 6 (2005): 235–42. http://dx.doi.org/10.2166/ws.2005.0069.

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As the socio-economic structure of Tokyo has changed over the last few decades, the water demand also has changed significantly. The bulk customers who use larger amounts of water gradually diminish, and the number of single and small households has increased dramatically. Analysis of the impact of such changes is necessary to give a clearer idea on the future water demand. In this paper, the effects of water tariff revision in 1994 on water consumption were analysed. Using the data obtained from Tokyo Metropolitan Waterworks, it was proved that the total annual water consumption after the cha

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41

Fontanazza, Chiara M., Vincenza Notaro, Valeria Puleo, and Gabriele Freni. "Multivariate statistical analysis for water demand modelling: implementation, performance analysis, and comparison with the PRP model." Journal of Hydroinformatics 18, no. 1 (2015): 4–22. http://dx.doi.org/10.2166/hydro.2015.150.

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Water demand is the driving force behind hydraulic dynamics in water distribution systems. Consequently, it is crucial to accurately estimate the actual water use to develop reliable simulation models. In this study, copula-based multivariate analysis was proposed and used for demand prediction for a given return period. The analysis was applied to water consumption data collected in the water distribution network of Palermo (Italy). The approach produced consistent demand patterns and could be a powerful tool when coupled with water distribution network models for design or analysis problems.

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42

Chmielewska, Agnieszka. "Monthly model of hot water consumption." E3S Web of Conferences 100 (2019): 00007. http://dx.doi.org/10.1051/e3sconf/201910000007.

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The article presents a statistical analysis of the monthly consumption of hot water in apartment buildings. On this basis, a monthly model of hot water consumption in multi-family buildings was proposed. This model consists of two sub models: model of average daily consumption of domestic hot water and a model describing changes in consumption of hot water in individual months of the year. To construct the model of average daily consumption of hot water, data on the consumption of hot water was used out of 16 multi-family buildings from the period of two years. The data was supplemented with i

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43

Nie, Taowen, Na Li, and Feng Yan. "Distortion and Improvement Method of Location Quotient in Water Consumption Evaluation." Mathematical Problems in Engineering 2022 (May 16, 2022): 1–6. http://dx.doi.org/10.1155/2022/9600265.

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Location quotient (LQ) is a widely used model to evaluate the spatial aggregation of water consumption. The conventional view is that all the domains of the LQ values in different water-using departments are [0, +∞). The larger the LQ is, the higher the degree of water consumption concentration is. With the water consumption structure evaluation of Northwest China as an illustration, this study shows the following: (i) The conventional LQ has a distortion phenomenon. The agricultural water consumption of Xinjiang Province accounts for more than 70.4% of the total water consumption in the whole

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44

Hu, Jiang, and Juanjuan Wen. "Modeling the correlation between water resources carbon emission and water consumption." Thermal Science, no. 00 (2022): 82. http://dx.doi.org/10.2298/tsci220113082h.

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Study the influencing factors and future changes of consumption carbon emissions and water consumption, and provide scientific support for the formulation of targeted policies in the region. Analyze the mechanism of energy consumption structure on carbon intensity, calculate the carbon emission of water intake system, water supply system, drainage and sewage treatment system; use the idea of carbon emission decomposition model to build a water consumption decomposition model. LMDI is used to decompose all factors without residual error, and the trend coefficient of gray correlation degree is u

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45

Zhong, Shane, Nick Turich, and Patrick Hayde. "AUTOMATED ANALYSIS OF METERED WATER CONSUMPTION." Water e-Journal 1, no. 1 (2016): 1–5. http://dx.doi.org/10.21139/wej.2016.002.

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46

Dimkić, Dejan. "Temperature Impact on Drinking Water Consumption." Environmental Sciences Proceedings 2, no. 1 (2020): 31. http://dx.doi.org/10.3390/environsciproc2020002031.

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The production of water in a drinking water supply system (WSS) comprises all drinking water enter in the net, while the consumption of water generally comprises all billed amounts of water in a WSS. The production and consumption of water in a drinking WSS depend on different factors. Consumption rates depend on the consumer structure and habits, industrial demand, time of year, water pricing, climatic variables, secondary water losses and many other factors. One of the interesting factors is air temperature. It is especially important in the frame of climate change and global warming. Temper

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47

Zhang, Xianqi, Mingliang Yue, Yuan Yao, and Hao Li. "Regional annual water consumption forecast model." DESALINATION AND WATER TREATMENT 114 (2018): 51–60. http://dx.doi.org/10.5004/dwt.2018.22358.

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48

Westrell, Therese, Yvonne Andersson, and Thor Axel Stenström. "Drinking water consumption patterns in Sweden." Journal of Water and Health 4, no. 4 (2006): 511–22. http://dx.doi.org/10.2166/wh.2006.0034.

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Estimates on drinking water consumption are necessary in risk assessments on microbial hazards in drinking water. Large differences in consumption habits between countries have been reported. In order to establish estimates for the Swedish population, water consumption data from a waterborne outbreak investigation (157 people), a small water consumption study (75 people) and a large study on health and environmental factors (10,957 people) were analysed. A lognormal distribution for the daily direct/cold water intake in litres with μ=−0.299 and σ=0.570 was fitted to the quantitative data, repr

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49

Trigg, Mark. "Domestic water consumption in rural Guatemala." Waterlines 18, no. 2 (1999): 21–23. http://dx.doi.org/10.3362/0262-8104.1999.045.

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50

Huarote Zegarra, Raul, and Monica Romero Valencia. "Backpropagation to predict drinking water consumption." Journal of Sciences and Engineering 2, no. 2 (2018): 31. http://dx.doi.org/10.32829/sej.v2i2.64.

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The present research article is based on the use of artificial neural networks as a tool for the prediction applied to the consumption of drinking water, where the artificial learning of a multilayer backpropagation network with the historical data consumed in m3 is used. In a computer with a regular feature, the backpropagation network was implemented in the Python 3.7.0 language, taking as a study object a case published on its SUNEDU website regarding drinking water consumption in 2017 and checking the results in January of 2018, taking these data for learning and the respective tests. It h

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