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Portable, Exhaustive, Reliable, Flexible and Optimized appRoach to Monitoring and Evaluation of building eneRgy performance


Benchmark of optimization techniques for identification of buildings thermal parameters

Author(s): Zaidi , Houda; Robert , Sylvain; Suard, Frédéric; Rouis, Yacine,
Published in: HAL CCSD Proceedings of the International Building Performance Simulation Association 2015

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

Author(s): Ahmad, Muhammad; Mourshed, Monjur; Rezgui, Yacine
Published in: Elsevier BV 0378-7788 2017
Permanent ID: Digital Object Identifier:10.1016/j.enbuild.2017.04.038

Rule based Fault Detection & Diagnosis for high performance buildings: application to a positive energy building in France

Author(s): Gavan, Valentin; Perehinec, Anna; Agapoff, Sergeï; Derouineau, Stéphanie
Published in: HAL CCSD 2016

The thermal energy performance of domestic dwellings in the UK

Author(s): Fitton, R

Computational intelligence techniques for HVAC systems: a review

Author(s): Ahmad, Muhammad Waseem; Mourshed, Monjur; Yuce, Baris; Rezgui, Yacine
Published in: Springer Verlag 2016
Permanent ID: Digital Object Identifier:10.1007/s12273-016-0285-4

Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm

Author(s): Reynolds, Jonathan; Ahmad, Muhammad Waseem; Rezgui, Yacine; Hippolyte, Jean-Laurent
Published in: Elsevier 0306-2619 2019

Deep highway networks and tree-based ensemble for predicting short-term building energy consumption

Author(s): Ahmad, Muhammad; Mouraud, Anthony; Rezgui, Yacine; Mourshed, Monjur
Published in: MDPI Issue 12 2018
Permanent ID: Digital Object Identifier:10.3390/en11123408