4th Edition: 2025
Description
AB Data Challenge is part of an innovation model where, through an open data competition, we collaborate with universities, research centers, and vocational training centers to promote the use of tele-reading data with the purpose of accelerating innovation.
4th Edition AB Data Challenge
In this fourth edition, we made available to the participating groups the aggregated tele-reading data for 2022, 2023, and 2024 from some municipalities in the metropolitan area of Barcelona.
The challenges have been primarily focused on determining the impact that global phenomena, such as tourism fluctuations or climate change, may have on water consumption, detecting abnormal usage, improving the customer experience in managing water leaks, and predicting incidents in smart meters in advance. The program continues to drive new challenges with the main goal of promoting innovation and talent.
Key Figures 4th Edition
Finalist projects
Folls
1st place
Challenge: Prediction of Incidents in Smart Meters
University: UPF
5 Participants
Data Science
Objective
Develop a web application capable of predicting and anticipating failures in the smart meter network.
Description
The Xarxa Viva solution, through the use of advanced predictive analytics and an interactive visual interface, enables real-time monitoring and management of the smart meter network. The developed web application generates instant alerts for meters at risk of failure and provides automatic explanations in both text and voice formats regarding the probable causes of the failure and recommended actions for technicians.
GesAI
2nd place
Challenge: Water Leaks and Customer Experience
University: UPF
5 Participants
Data Science
Objective
Create a platform for automated incident management using intelligent agents to reduce response time in leak detection.
Description
GesAI is an innovative platform set within a secure environment using cybersecurity techniques. It covers leak detection and assessment through Data Science and Machine Learning methods; enables effective and proactive communication with customers via an alert system and double verification; and automates the generation of reports and visualizations of the results obtained for each incident.
WaterSense
3rd position
Challenge: Impacts of Global Changes on Water Consumption
University: ESADE Fusion Point
2 Participants
Marketing and Data Science
Objective
Develop a predictive system for water demand and consumption based on different environmental and socioeconomic factors.
Description
A real-time prediction and learning system that estimates domestic and commercial water demand and consumption by incorporating environmental variables (temperature, reservoir levels) and socioeconomic factors (tourism fluctuations, holiday calendar).
