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

Publikacje

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

Autorzy: Muhammad Waseem Ahmad; Yacine Rezgui; Monjur Mourshed
Opublikowane w: Elsevier BV 0378-7788 2017
Stały identyfikator: Digital Object Identifier:10.1016/j.enbuild.2017.04.038

Benchmark of optimization techniques for identification of buildings thermal parameters

Autorzy: Zaidi , Houda; Robert , Sylvain; Suard, Frédéric; Rouis, Yacine,
Opublikowane w: HAL CCSD Proceedings of the International Building Performance Simulation Association 2015

Building energy metering and environmental monitoring – A state-of-the-art review and directions for future research

Autorzy: Yacine Rezgui; Mario Sisinni; Muhammad Waseem Ahmad; David Mundow; Monjur Mourshed
Opublikowane w: Elsevier BV 0378-7788 2016
Stały identyfikator: Digital Object Identifier:10.1016/j.enbuild.2016.03.059

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

Autorzy: Gavan, Valentin; Perehinec, Anna; Agapoff, Sergeï; Derouineau, Stéphanie
Opublikowane w: HAL CCSD https://hal-cstb.archives-ouvertes.fr/hal-01312760 2016

Computational intelligence techniques for HVAC systems: a review

Autorzy: Baris Yuce; Muhammad Waseem Ahmad; Yacine Rezgui; Monjur Mourshed
Opublikowane w: Springer Science and Business Media LLC 2016
Stały identyfikator: Digital Object Identifier:10.1007/s12273-016-0285-4

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

Autorzy: Muhammad Waseem Ahmad; Anthony Mouraud; Yacine Rezgui; Monjur Mourshed
Opublikowane w: MDPI AG Issue 12 2018
Stały identyfikator: Digital Object Identifier:10.3390/en11123408

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

Autorzy: Jean-Laurent Hippolyte; Jonathan Reynolds; Muhammad Waseem Ahmad; Yacine Rezgui
Stały identyfikator: Digital Object Identifier:10.1016/j.apenergy.2018.11.001