scholarly journals Performance Assessment for Short-Term Water Demand Forecasting Models on Distinctive Water Uses in Korea

2021 ◽  
Vol 13 (11) ◽  
pp. 6056
Author(s):  
Kang-Min Koo ◽  
Kuk-Heon Han ◽  
Kyung-Soo Jun ◽  
Gyu-Min Lee ◽  
Jung-Sik Kim ◽  
...  
Keyword(s):  
Water Supply ◽  
Water Consumption ◽  
Water Demand ◽  
Demand Forecasting ◽  
Supply System ◽  
Water Supply System ◽  
Smart Meter ◽  
Short Term ◽  
Water Demand Forecasting ◽  
Smart Water

It is crucial to forecast the water demand accurately for supplying water efficiently and stably in a water supply system. In particular, accurately forecasting short-term water demand helps in saving energy and reducing operating costs. With the introduction of the Smart Water Grid (SWG) in a water supply system, the amount of water consumption is obtained in real-time through a smart meter, which can be used for forecasting the short-term water demand. The models widely used for water demand forecasting include Autoregressive Integrated Moving Average, Radial Basis Function-Artificial Neural Network, Quantitative Multi-Model Predictor Plus, and Long Short-Term Memory. However, there is a lack of research on assessing the performance of models and forecasting the short-term water demand in the SWG demonstration plant. Therefore, in this study, the short-term water demand was forecasted for each model using the data collected from a smart meter, and the performance of each model was assessed. The Smart Water Grid Research Group installed a smart meter in block 112 located in YeongJong Island, Incheon, and the actual data used for operating the SWG demonstration plant were adopted. The performance of the model was assessed by using the Residual, Root Mean Square Error, Normalized Root Mean Square Error, Nash–Sutcliffe Efficiency, and Pearson Correlation Coefficient as indices. As a result of water demand forecasting, it is difficult to forecast water demand only by time and water consumption. Therefore, as the short-term water demand forecasting models using only time and the amount of water consumption have limitations in reflecting the characteristics of consumers, a water supply system can be managed more precisely if other factors (weather, customer behavior, etc.) influencing the water demand are applied.

scholarly journals Performance Assessment for Short-Term Water Demand Forecasting Models at an End-Use Level in Korea

2021 ◽  
Author(s):  
Kang Min Koo ◽  
Kuk Heon Han ◽  
Kyung Soo Jun ◽  
Gyumin Lee ◽  
Jung Sik Kim ◽  
...  
Keyword(s):  
Water Supply ◽  
Water Consumption ◽  
Water Demand ◽  
Demand Forecasting ◽  
Supply System ◽  
Water Supply System ◽  
Short Term ◽  
Water Demand Forecasting ◽  
Smart Water ◽  
End Use

It is crucial to forecast the water demand accurately for supplying water efficiently and stably in a water supply system. In particular, accurately forecasting short-term water demand helps in saving energy and reducing operating costs. With the introduction of the Smart Water Grid (SWG) in a water supply system, the amount of water consumption is obtained in real time through an advanced metering infrastructure (AMI) sensor, which can be used for forecasting the short-term water demand. The models widely used for water demand forecasting include the autoregressive integrated moving average, radial basis function-artificial neural network, quantitative multi-model predictor plus, and long short-term memory. However, there is a lack of research on assessing the performance of models and forecasting the short-term water demand by applying the data on the amount of water consumption by purpose and the pipe diameter of an end-use level of the SWG demonstration plant in each demand forecasting model. Therefore, in this study, the short-term water demand was forecasted for each model using the data collected from the AMI, and the performance of each model was assessed. The Smart Water Grid Research Group installed ultrasonic-wave-type AMI sensors in the block 112 located in YeongJong Island, Incheon, and the actual data used for operating the SWG demonstration plant were adopted. The performance of the model was assessed by using the residual, root mean square error (RMSE), normalized root mean square error (NRMSE), Nash–Sutcliffe efficiency (NSE), and Pearson correlation coefficient (PCC) as indices. The water demand forecast was slightly underestimated in models that employed the assessment results based on the RMSE and NRMSE. Furthermore, the forecasting accuracy was low for the NSE due to a large number of negative values; the correlation between the observed and forecasted values of the PCC was not high, and it was difficult to forecast the peak amount of water consumption. Therefore, as the short-term water demand forecasting models using only time and the amount of water consumption have limitations in reflecting the characteristics of consumers, a water supply system can be managed more precisely if other factors (weather, customer behavior, etc.) influencing the water demand are applied.

scholarly journals Developing water supply system in Szőgye

2021 ◽  
Author(s):  
Nikolett Fecser ◽  
István Lakatos
Keyword(s):  
Water Management ◽  
Drinking Water ◽  
Water Supply ◽  
Water Consumption ◽  
Water Demand ◽  
Cost Reduction ◽  
Supply System ◽  
Water Supply System ◽  
The Cost

Abstract The deteriorative processes occurring in the environment, the growth of population, the water demand of industry and agriculture, point out day after day the increasing role of water management. The economical use of drinking-water consumption as well as the cost reduction is becoming more and more important. In this research, the measure of a water supplier of Győr was examined in terms of implementing the purposes above.

scholarly journals Applying human mobility and water consumption data for short-term water demand forecasting using classical and machine learning models

2020 ◽  
Vol 17 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Kamil Smolak ◽  
Barbara Kasieczka ◽  
Wieslaw Fialkiewicz ◽  
Witold Rohm ◽  
Katarzyna Siła-Nowicka ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Consumption ◽  
Water Demand ◽  
Human Mobility ◽  
Demand Forecasting ◽  
Learning Models ◽  
Short Term ◽  
Water Demand Forecasting ◽  
Consumption Data ◽  
Machine Learning Models

scholarly journals Sustainability characteristics of drinking water supply

2020 ◽  
Author(s):  
Jolijn van Engelenburg ◽  
Erik van Slobbe ◽  
Adriaan J. Teuling ◽  
Remko Uijlenhoet ◽  
Petra Hellegers
Keyword(s):  
Drinking Water ◽  
Water Supply ◽  
Water Demand ◽  
Supply System ◽  
Water Supply System ◽  
Drinking Water Supply ◽  
Extreme Weather Events ◽  
Water Supply Systems ◽  
Global Issues ◽  
Drinking Water Supply System

Abstract. Developments such as climate change and growing demand for drinking water threaten the sustainability of drinking water supply worldwide. To deal with this threat, adaptation of drinking water supply systems is imperative, not only on a global and national scale, but particularly on a local scale. This investigation sought to establish characteristics that describe the sustainability of local drinking water supply. We use an integrated systems approach, describing the local drinking water supply system in terms of hydrological, technical and socio-economic characteristics that determine the sustainability of a local drinking water supply system. Three cases on drinking water supply in the Netherlands are analysed. One case relates to a short-term development, that is the 2018 summer drought, and two concern long-term phenomena, that is, changes in water quality and growth in drinking water demand. The approach taken recognises that next to extreme weather events, socio-economic developments will be among the main drivers of changes in drinking water supply. Effects of pressures associated with, for example, population growth, industrial developments and land use changes, could result in limited water resource availability, deteriorated groundwater quality and growing water demand. To gain a perspective on the case study findings broader than the Dutch context, the sustainability issues identified were paired with global issues concerning sustainable drinking water supply. This resulted in a proposed set of generally applicable sustainability characteristics, each divided into five criteria describing the hydrological, technical and socio-economic sustainability of a local drinking water supply system. Elaboration of these sustainability characteristics and criteria into a sustainability assessment can provide information on the challenges and trade-offs inherent in the sustainable development and management of a local drinking water supply system.

scholarly journals Analysis of the water meter management of the urban-rural water supply system

2018 ◽  
Vol 44 ◽  
pp. 00051 ◽  
Author(s):  
Joanna Gwozdziej-Mazur ◽  
Kamil Świętochowski
Keyword(s):  
Water Supply ◽  
Water Demand ◽  
Supply System ◽  
Water Supply System ◽  
Water Losses ◽  
Rural Water Supply ◽  
Rural Water ◽  
Urban Rural ◽  
Water Supply Company ◽  
Water Meter

Water losses in the water supply network pose a continuous challenge for water companies. Already during designing new networks, the designer assumes that the amount of water demand must be increased by a certain percentage (usually by 10% of the total average daily water demand for municipal and industrial purposes) due to the possible occurrence of water losses. Water loss is meant the difference between the amount of water injected into the network and the amount of water used and invoiced, i.e. that brings income for the water supply company. Proper water metering management helps to limit water losses. This paper presents analysis of the water meter management of urban-rural water supply system.

Sign in / Sign up

Export Citation Format

Share Document