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Artículo
Sustainable Development and Efficiency Analysis of the Major Urban Water Utilities in Spain
(MDPI AG, 2022-05)
In Spain, the water supply service is a municipal responsibility and in general is a sector without competitors. For this reason, an efficiency analysis attains greater significance. This study uses Data Envelopment Analysis ...
Artículo
An evolutionary fuzzy system to support the replacement policy in water supply networks: The ranking of pipes according to their failure risk
(Elsevier Ltd, 2021)
In this study, an evolutionary fuzzy system is proposed to predict unexpected pipe failures in water supply networks. The system seeks to underpin the decisions of management companies regarding the maintenance and ...
Artículo
Aplicación de la regresión logística para la predicción de roturas de tuberías en redes de abastecimiento de agua
(Asociación para el desarrollo de Ingeniería de Organización, 2020)
Las roturas de tuberías en redes de abastecimiento de agua provocan serios problemas para las compañías encargadas de su gestión. Con objeto de reducir el número de roturas inesperadas, se propone un método predictivo de ...
Artículo
Prediction of pipe failures in water supply networks for longer time periods through multi-label classification
(Elsevier, 2023-03)
The unexpected failure of pipes is a problem that is hitting the water networks of many cities around the world. Nowadays, many proposals based on the use of machine learning techniques are emerging to combat this problem. ...
Artículo
Artificial neural networks to forecast failures in water supply pipes
(MDPI AG, 2021)
The water supply networks of many countries are experiencing a drastic increase in the number of pipe failures. To reverse this tendency, it is essential to optimise the replacement plans of pipes. For this reason, companies ...
Artículo
Prediction of pipe failures in water supply networks using logistic regression and support vector classification
(Elsevier, 2020-04)
Companies in charge of water supply networks are making a huge effort to optimally plan the annual replacements of pipes. This would save costs, enable a higher quality of service and a sustainable management of ...
Artículo
Trends and Applications of Machine Learning in Water Supply Networks Management
(OmniaScience, 2021)
Purpose: This study describes the trends and applications of machine learning systems in the management of water supply networks. Machine learning is a field in constant development, and it has a great potential and ...
Artículo
Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks
(Springer, 2021-09)
Sewer networks are mainly composed of pipelines which are in charge of transporting sewage and rainwater to wastewater treatment plants. A failure in a sewer pipe has many negative consequences, such as accidents, flooding, ...