Hamad Bin Khalifa University, Iberdrola- Qatar and USAL improving energy efficiency through AI

The first annual meeting of the Adaptive and Intelligent Edge Computing based Building Energy Management System (AI-BEMS) project took place this week in Doha, Qatar to review the progress of the project.

AI-BEMS aims to optimise household energy consumption and enable demand response by researching and building an Edge Computing architecture based on virtual organisations and distributed Explainable Artificial Intelligence (XAI) algorithms.

Virtual organisations dynamically optimise consumption patterns and recommend energy efficiency (EE) measures that will not only increase energy savings, but also maximise residents’ comfort. The virtual organisation will be able to learn autonomously from users.

Consortium representatives during the meeting in Doha, Qatar.

Juan Manuel Corchado, director of the BISITE Research Group at the University of Salamanca, participated in the event, together with other consortium partners, including Dr Muhammad Hanan Abdul Ibrar and Aiman Erbad from Hamad Bin Khalifa University and Mahdi Houchati, Hussam Kanaan, Javier Hernández and Paloma Álvarez from Iberdrola-Qatar.

The AI-BEMS project is a great initiative for achieving energy efficiency without reducing user comfort. Moreover, it analyses and improves the inhabitants’ consumption habits through the use of new technologies.  

This project has been funded by the Qatar Foundation’s QNRF (DOHA).

This article was made possible by a thirteenth (13th) cycle NPRP-Standard (NPRP-S) grant no. 13S-0128-200187 from the Qatar National Research Fund (a member of the Qatar Foundation). The results herein reflect the work of, and are the sole responsibility of, the author(s).

Juan Manuel Corchado

Full Professor in Computer Science and Artificial Intelligence, Department of Computer Science and Automation, University of Salamanca, Spain.


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