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A review on current technologies and future direction of water leakage detection in water distribution network
Water leakage in the supply system is a silent problem that costs billions of dollars yearly. As
these supply pipes are mostly underground, this leakage remains undetected for a long …
these supply pipes are mostly underground, this leakage remains undetected for a long …
[HTML][HTML] Addressing data limitations in leakage detection of water distribution systems: Data creation, data requirement reduction, and knowledge transfer
Leakage in water distribution systems is a significant problem worldwide, leading to wastage
of water resources, compromised water quality and excess energy consumption. Leakage …
of water resources, compromised water quality and excess energy consumption. Leakage …
The technological emergence of automl: A survey of performant software and applications in the context of industry
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …
practical industrial uptake. Whilst some sciences have robust and well-established …
[HTML][HTML] Semi-supervised anomaly detection methods for leakage identification in water distribution networks: A comparative study
This study presents a comprehensive evaluation of 10 state of the art semi-supervised
anomaly detection (AD) methods for leakage identification in water distribution networks …
anomaly detection (AD) methods for leakage identification in water distribution networks …
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms
The diffusion of domotics solutions and of smart appliances and meters enables the
monitoring of energy consumption at a very fine level and the development of forecasting …
monitoring of energy consumption at a very fine level and the development of forecasting …
Random forest for the detection of unauthorized consumption in water supply systems: a case study in Southern Brazil
Clandestine connections represent a significant portion of the apparent water losses. The
objective of this research work is to propose a systematic approach to inspect sites with …
objective of this research work is to propose a systematic approach to inspect sites with …
Identifying major climate extreme indices driver of stream flow discharge variability using machine learning and SHaply Additive Explanation
This study identifies major climate extreme indices as drivers of stream flow discharge
variability using machine learning and the SHaply Additive Explanation. The homogenized …
variability using machine learning and the SHaply Additive Explanation. The homogenized …
Comparison of automated machine learning (AutoML) libraries in time series forecasting Zaman serisi tahminlemede otomatikleştirilmiş makine öğrenmesi (AutoML) …
N Akkurt, S Hasgül - Journal of the Faculty of Engineering and …, 2024 - avesis.ogu.edu.tr
Companies must make forecasts for the future to take necessary precautions, as well as to
guard or expand their position and remain competitive. The development of data …
guard or expand their position and remain competitive. The development of data …
A review of leak detection and prediction methods in water distribution systems using machine learning
AS Acevedo Pérez - 2023 - repositorio.uniandes.edu.co
This paper presents a semi systematic literature review of recent research trends in the
detection and prediction of leaks and bursts in water dystribution systems using machine …
detection and prediction of leaks and bursts in water dystribution systems using machine …
Addressing data limitations in leakage detection of water distribution systems
Leakage in water distribution systems is a significant problem worldwide, leading to wastage
of water resources, compromised water quality and excess energy consumption. Leakage …
of water resources, compromised water quality and excess energy consumption. Leakage …