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

Informazioni relative al progetto

PERFORMER

ID dell’accordo di sovvenzione: 609154

Progetto chiuso

Data di avvio 2 Settembre 2013

Data di completamento 1 Settembre 2017

Finanziato da

• Specific Programme "Cooperation": Nanosciences, Nanotechnologies, Materials and new Production Technologies

Costo totale € 8 174 359,23

Contributo UE € 5 572 972,60

Coordinato da

SMS ENERGY SERVICES LIMITED
Regno Unito

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Pubblicazioni mediante OpenAIRE (13)

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

Autori: Yacine Rezgui; Monjur Mourshed; Muhammad Waseem Ahmad
Pubblicato in: Elsevier BV0378-7788 2017
ID permanente: Digital Object Identifier:10.1016/j.enbuild.2017.04.038; Microsoft Academic Graph Identifier:2605614336

Optimising the Scheduled Operation of Window Blinds to Enhance Occupant Comfort

Autori: Ahmad, Muhammad; Mourshed, Monjur; Hippolyte, Jean-Laurent; Rezgui, Yacine; Li, Haijiang
Pubblicato in: IBPSAProceedings of BS2015: 14th Conference of International Building Performance Simulation Association, Hyderabad, India, Dec. 7-9, 2015 2015
ID permanente: Digital Object Identifier:10.26868/25222708.2015.2683

Benchmark of optimization techniques for identification of buildings thermal parameters

Autori: Zaidi, Houda; Robert, Sylvain; Suard, Frédéric; Rouis, Yacine
Pubblicato in: HAL CCSDhttps://cea.hal.science/cea-01844039 2015

Comparison of whole house heat loss test methods under controlled conditions in six distinct retrofit scenarios

Autori: Alezzo, F; Farmer, D; Fitton, R; Hughes, T; Swan, W; Saint Gobain Recherche; Leeds Beckett University; University of Salford
Pubblicato in: Elsevier BV0378-7788 2018
ID permanente: Digital Object Identifier:10.1016/j.enbuild.2018.03.024; Microsoft Academic Graph Identifier:2791672740

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

Autori: Mario Sisinni; Yacine Rezgui; David Mundow; Monjur Mourshed; Muhammad Waseem Ahmad
Pubblicato in: Elsevier BV0378-7788 2016
ID permanente: Digital Object Identifier:10.1016/j.enbuild.2016.03.059; Microsoft Academic Graph Identifier:2307825619

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

Autori: Gavan, Valentin; Perehinec, Anna; Agapoff, Sergeï; Derouineau, Stéphanie
Pubblicato in: HAL CCSD12th REHVA World Congress - CLIMA 2016, May 2016, Aalborg, Denmark. 2016

Random forests and artificial neural network for predicting daylight illuminance and energy consumption

Autori: Ahmad, Muhammad; Hippolyte, Jean-Laurent; Mourshed, Monjur; Rezgui, Yacine
Pubblicato in: IBPSA2522-2708 2017

The thermal energy performance of domestic dwellings in the UK

Autori: Fitton, R

Computational intelligence techniques for HVAC systems: A review

Autori: Yacine Rezgui; Monjur Mourshed; Muhammad Waseem Ahmad; Baris Yuce
Pubblicato in: Springer Science and Business Media LLC1996-3599 2016
ID permanente: Digital Object Identifier:10.1007/s12273-016-0285-4; Microsoft Academic Graph Identifier:2286961273

Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression

Autori: Ahmad, Muhammad Waseem; Mourshed, Monjur; Rezgui, Yacine
Pubblicato in: Elsevier BV0360-5442 2018
ID permanente: Digital Object Identifier:10.1016/j.energy.2018.08.207; Microsoft Academic Graph Identifier:2888945543

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