scholarly journals A nonparametric framework for water consumption data cleansing: an application to a smart water network in Naples (Italy)

2020 ◽  
Vol 22 (4) ◽  
pp. 666-680 ◽  
Author(s):  
Roberta Padulano ◽  
Giuseppe Del Giudice
Keyword(s):  
Time Series ◽  
Water Consumption ◽  
Remote Monitoring ◽  
Prior Information ◽  
Water Network ◽  
Smart Water ◽  
Consumption Data ◽  
Large Databases ◽  
Unsupervised Approach ◽  
Water Uses

Abstract Remote monitoring and collection of water consumption has gained pivotal importance in the field of demand understanding, modelling and prediction. However, most of the analyses that can be performed on such databases could be jeopardized by inconsistencies due to technological or behavioural issues causing significant amounts of missing or anomalous values. In the present paper, a nonparametric, unsupervised approach is presented to investigate the reliability of a consumption database, applied to the dataset of a district metering area in Naples (Italy) and focused on the detection of suspicious amounts of zero or outlying data. Results showed that the methodology is effective in identifying criticalities both in terms of unreliable time series, namely time series having huge amounts of invalid data, and in terms of unreliable data, namely data values suspiciously different from some suitable central parameters, irrespective of the source causing the anomaly. As such, the proposed approach is suitable for large databases when no prior information is known about the underlying probability distribution of data, and it can also be coupled with other nonparametric, pattern-based methods in order to guarantee that the database to be analysed is homogeneous in terms of water uses.

scholarly journals Smart water meter for automatic meter reading

2022 ◽  
Vol 1212 (1) ◽  
pp. 012042
Author(s):  
A Amir ◽  
R Fauzi ◽  
Y Arifin
Keyword(s):  
Water Consumption ◽  
Smart City ◽  
Clean Water ◽  
Smart Meter ◽  
Maximum Difference ◽  
Smart Water ◽  
Consumption Data ◽  
Water Meters ◽  
Water Metering ◽  
Water Meter

Abstract Clean water is one of the main sectors in smart city that need well management. One of the clean water management is utilization of water meters. The smart meter is more suitable applied for smart city. Recent Smart Water Meter allows water authorities to obtain water consumption data remotely. It also provides ability to collect and record the data in real time that can be utilised for multipurpose. However, in Indonesia, the water meters are used only to measure the total volume of clean water consumption for billing purpose only using mechanical water meter and requires labour intensive manual. Currently, many researches on smart meter design have been developed. However, the smart meter only measure and record the water consumption, without ability in which customer can determine the amount of water as needed. This paper describes design and development of smart water metering with Internet of Things. Flow meter is used as a sensor of water flowing through the pipe. The ability of the proposed smart meter is not only to measure and to record the volume water consumed, but also the customer can determine the water desired and required. The volume of water measured by the smart meter is compared with the manual measurement. The result shows that the water measured manually differs slightly from smart meter measurement using water flow sensor. The maximum difference, error, is 0.03 litres. The proposed smart meter has ability to close the main valve once the determined amount of water is reached.

scholarly journals Time series analysis of water consumption in the Hohoe municipality of the Volta region, Ghana

2015 ◽  
Vol 4 (2) ◽  
pp. 393 ◽  
Author(s):  
S. K. Amponsah ◽  
Dominic Otoo ◽  
C. A. K. Todoko
Keyword(s):  
Time Series ◽  
Water Consumption ◽  
Time Series Model ◽  
Adequate Model ◽  
Company Limited ◽  
The People ◽  
Living Things ◽  
Consumption Data ◽  
Production And Distribution ◽  
Volta Region

<p>Water is considered as a lifeline of all living things, especially humans; hence its availability is a critical component in the measurement of human wellbeing through the Human Development Index (HDI). Its production and distribution in Ghana, particularly in the Hohoe Municipality of the Volta Region is a challenge. This study seeks to identify the best-fit time series model to the water consumption data in the Hohoe Municipality and to forecast water consumption in the Municipality. This underpins the development of a time-series model for forecasting water consumption levels of the residents, institutions and businesses in the municipality. Several time series models, including AR, MA, ARMA, ARIMA and SARIMA were fitted to the data, and it emerged that the most adequate model for the data was ARIMA (2, 1, and 2). The model was then used to forecast the consumption for the next four years, to advise Ghana Water Company Limited in the municipality to meet the demand of the people.</p>

Aproveitamento de Recursos Hídricos em Micro Bacias Hidrográficas Utilizando Sistemas de Informação Geográfica

1997 ◽  
Vol 24 (1-2) ◽  
pp. 3
Author(s):  
LUIZ ERNESTO RENUNCIO ◽  
CARLOS LOCH
Keyword(s):  
Water Supply ◽  
Water Consumption ◽  
Industrial Development ◽  
Difficult Problem ◽  
Planning Unit ◽  
Large Databases ◽  
Spatially Distributed ◽  
Water Supply Reservoir ◽  
Consumption Demand ◽  
Previous Location

The daily increase of inhabitants in our cities, when associated with the commercial and industrial development, leads to larger water consumption demand. Despite the larger demand the resource may maintain its quality. The solutions to these difficult problem frequently require the capacity to store manage and analyze large databases, spatially distributed. This work presents the methodology adopted to plan and locate the best site for a water supply reservoir, with the aggregation of a GIS structured database, regarding a microbasin as the planning unit. This was held in the municipality of Cocal do Sul, Brazil. The result was a previous location for the water supply reservoir, considering also other uses for the water that should be stored.

Water consumption in public schools for the city of Bologna, Italy

2013 ◽  
Vol 13 (2) ◽  
pp. 257-264 ◽  
Author(s):  
Marco Farina ◽  
Marco Maglionico ◽  
Marco Pollastri ◽  
Irena Stojkov
Keyword(s):  
Public Schools ◽  
Water Consumption ◽  
Residential Buildings ◽  
Secondary School Student ◽  
Educational Interventions ◽  
Daily Basis ◽  
Published Data ◽  
Older Students ◽  
Consumption Data ◽  
The City

For most buildings considered to be of a public non-residential type there are insufficient published data to establish and compare the theoretical standards with actual consumption data. Therefore, water consumption per user in non-residential buildings is still a very complicated issue for engineers and designers involved in analysing water demand and water management. This is why linking water consumption and school occupancy is the goal of this paper, trying to set the basis for further design, conservation and educational interventions on this topic. This research integrates quantitative data of water consumption, through water metering and analysis, and historical data about users in buildings. We focused on consumptions for four types of schools: nurseries (0–3-year-old children), kindergartens (3–6 years), elementary schools (6–11 years) and secondary 1st grade schools (11–14 years). The results are that the rational basic demand for water is estimated as 48.8 l per pre-school student per day and 18.7 l per elementary/secondary school student per day. Therefore we found that younger children use more water on a daily basis than older ones, probably because they need more services, such as laundries and kitchens, whereas older students consume water mainly in restrooms.

scholarly journals Impact of COVID-19 emergency on residential water end-use consumption measured with a high-resolution IoT system

2021 ◽  
Author(s):  
A. Di Mauro ◽  
G. F. Santonastaso ◽  
S. Venticinque ◽  
A. Di Nardo
Keyword(s):  
High Resolution ◽  
Smart Cities ◽  
Temporal Frequency ◽  
Sustainable Use ◽  
Smart Water ◽  
Consumption Data ◽  
Before And After ◽  
End Use ◽  
Residential Water

Abstract In the era of Smart Cities, in which the paradigms of smart water and smart grid are keywords of technological progress, advancements in metering systems allow for water consumption data collection at the end-use level, which is necessary to profile users' behaviors and to promote sustainable use of water resources. In this paper, a real case study of residential water end-use consumption monitoring shows how data collected at a high-resolution rate allow for the evaluation of consumption profiles. The analysis was carried out by calculating consumption statistics, hourly consumption patterns, daily use frequency, and weekly use frequency. Then, the comparison of two consumption profiles, computed before and after the COVID-19 lockdown, allows us to understand how a change in social and economic factors can affect users' behavior. Finally, new perspectives for water demand modeling and management, based on data with high temporal frequency, are presented.

Estimating cotton water consumption using a time series of Sentinel-2 imagery

2018 ◽  
Vol 207 ◽  
pp. 44-52 ◽  
Author(s):  
Offer Rozenstein ◽  
Nitai Haymann ◽  
Gregoriy Kaplan ◽  
Josef Tanny
Keyword(s):  
Time Series ◽  
Water Consumption ◽  
Sentinel 2
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