Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data

Milad Khaki, Milad Khaki, Nasim Mortazavi

2022

Abstract

Wireless ‘smart’ water meters that allow functionalities such as demand response, leak alerts, identification of characteristic demand patterns, and detailed consumption analysis are becoming an essential part of water infrastructure in many countries. To achieve these benefits, the meter data needs to be error-free, which is not necessarily available in practice due to ‘dirtiness’ or ‘uncertainty’ of data, which is mostly unavoidable. Additionally, by analyzing the smart meter data and finding demand patterns, it is possible to provide insights to the municipalities to improve their distribution network, better understand demand characteristics, identify the consumers that are the main sources of shaping the high consumption peaks. This paper investigates solutions to mine the uncertain data, ensures the validity of results, and evaluates the impact of dirty data on data analysis results. Once the reliability of results is ensured, the evaluation results can be used for informed decision-making on water planning strategies. Secondly, the consumption pattern of a city equipped with 25 thousand water consumers is analyzed, and weekly consumption profiles over an entire year are presented for single-family residential consumers. Additionally, a systematic study of the errors existing in large-scale smart water meter deployments is performed to better understand the nature of errors in such data sources, particularly at the first stages of implementation of smart metering infrastructure. Also, the sensitivity of the results to various types of errors in a big data system is presented and investigated.

Paper Citation

in Harvard Style

Khaki M. and Mortazavi N. (2022). Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 436-443. DOI: 10.5220/0010834900003116

in Bibtex Style

@conference{icaart22,
author={Milad Khaki and Nasim Mortazavi},
title={Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={436-443},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010834900003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data
SN - 978-989-758-547-0
AU - Khaki M.
AU - Mortazavi N.
PY - 2022
SP - 436
EP - 443
DO - 10.5220/0010834900003116