Jean-Laurent Hippolyte
Jean-Laurent Hippolyte
Cardiff University
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Cited by
Cited by
Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources
S Howell, Y Rezgui, JL Hippolyte, B Jayan, H Li
Renewable and Sustainable Energy Reviews 77, 193-214, 2017
Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm
J Reynolds, MW Ahmad, Y Rezgui, JL Hippolyte
Applied energy 235, 699-713, 2019
Reconstruction of 3D building information models from 2D scanned plans
L Gimenez, JL Hippolyte, S Robert, F Suard, K Zreik
Journal of Building Engineering 2, 24-35, 2015
Upscaling energy control from building to districts: Current limitations and future perspectives
J Reynolds, Y Rezgui, JL Hippolyte
Sustainable Cities and Society 35, 816-829, 2017
Towards the adoption of automated regulatory compliance checking in the built environment
TH Beach, JL Hippolyte, Y Rezgui
Automation in construction 118, 103285, 2020
Ontology-based demand-side flexibility management in smart grids using a multi-agent system
JL Hippolyte, S Howell, B Yuce, M Mourshed, HA Sleiman, M Vinyals, ...
2016 IEEE International Smart Cities Conference (ISC2), 1-7, 2016
The UDSA ontology: An ontology to support real time urban sustainability assessment
C Kuster, JL Hippolyte, Y Rezgui
Advances in Engineering Software 140, 102731, 2020
Random forests and artificial neural network for predicting daylight illuminance and energy consumption
M Ahmad, JL Hippolyte, M Mourshed, Y Rezgui
IBPSA 15, 1949-1955, 2017
Ontology-driven development of web services to support district energy applications
JL Hippolyte, Y Rezgui, H Li, B Jayan, S Howell
Automation in Construction 86, 210-225, 2018
Building information modelling knowledge harvesting for energy efficiency in the Construction industry
A Hodorog, I Petri, Y Rezgui, JL Hippolyte
Clean Technologies and Environmental Policy 23, 1215-1231, 2021
A self-adaptive multiagent evolutionary algorithm for electrical machine design
JL Hippolyte, C Bloch, P Chatonnay, C Espanet, D Chamagne
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
A smart heating set point scheduler using an artificial neural network and genetic algorithm
J Reynolds, JL Hippolyte, Y Rezgui
2017 International Conference on Engineering, Technology and Innovation (ICE …, 2017
Optimising the scheduled operation of window blinds to enhance occupant comfort
M Ahmad, M Mourshed, JL Hippolyte, Y Rezgui, HJ Li
Available online at www. sciencedirect. com
S Savolainen, SE Strandf
Proceedings of the 3rd International Conference on Imaging Technologies in …, 2006
Web-based 3D urban decision support through intelligent and interoperable services
S Howell, JL Hippolyte, B Jayan, J Reynolds, Y Rezgui
2016 IEEE International Smart Cities Conference (ISC2), 1-4, 2016
Semantic interoperability for holonic energy optimization of connected smart homes and distributed energy resources
S Howell, Y Rezgui, JL Hippolyte, M Mourshed
eWork and eBusiness in Architecture, Engineering and Construction: ECPPM …, 2017
Optimal scheduling strategy for enhancing IAQ, thermal comfort and visual using a genetic algorithm
MW Ahmad, J Hippolyte, J Reynolds, M Mourshed, Y Rezgui
Proceedings of the ASHRAE IAQ, 12-14, 2016
Permanent magnet motor multiobjective optimization using multiple runs of an evolutionary algorithm
JL Hippolyte, C Espanet, D Chamagne, C Bloch, P Chatonnay
2008 IEEE Vehicle Power and Propulsion Conference, 1-5, 2008
Tuning an Evolutionary Algorithm with Taguchi Methods and Application to the dimensioning of an Electrical Motor
JL Hippolyte, C Bloch, P Chatonnay, C Espanet, D Chamagne, G Wimmer
Proceedings of the 5th international conference on Soft computing as …, 2008
An analytical optimization model for holistic multiobjective district energy management-a case study approach
MB Jayan, H Li, Y Rezgui, JL Hippolyte, S Howell
International Journal of Modeling and Optimization 6 (3), 156-165, 2016
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