Searched for: subject%3A%22Smart%255C%2Bdemand%255C%2Bmetering%22
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Xenochristou, Maria (author), Hutton, Chris (author), Hofman, Jan (author), Kapelan, Z. (author)
This study utilizes a rich UK data set of smart demand metering data, household characteristics, and weather data to develop a demand forecasting methodology that combines the high accuracy of machine learning models with the interpretability of statistical methods. For this reason, a random forest model is used to predict daily demands 1 day...
journal article 2021
Huang, Yuan (author), Zheng, Feifei (author), Kapelan, Z. (author), Savić, Dragan (author), Duan, Huan-Feng (author)
This paper proposes a multistage method for burst leak localization through valve operations (VOs) and smart demand metering in district meter areas (DMAs) of water distribution systems (WDSs). Each stage includes partitioning of the DMA into two subregions using VOs and identification of potentially leaking pipes within the subregions...
journal article 2020