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Hippolyte, J.-L., Rezgui, Y., Li, H., Jayan, B. and Howell, S. 2018. Ontology-driven development of web services to support district energy applications. Automation in Construction 86 , pp. 210-225. 10.1016/j.autcon.2017.10.004 |
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Howell, Shaun, Rezgui, Yacine, Hippolyte, Jean-Laurent, Jayan, Bejay and Li, Haijiang 2017. Towards the next generation of smart grids: semantic and holonic multi-agent management of distributed energy resources. Renewable and Sustainable Energy Reviews 77 , pp. 193-214. 10.1016/j.rser.2017.03.107 |
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Howell, Shaun Kevin, Hippolyte, Jean-Laurent, Jayan, Bejay, Reynolds, Jonathan and Rezgui, Yacine 2016. Web-based 3D urban decision support through intelligent and interoperable services. Presented at: 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12-15 September 2016. Smart Cities Conference (ISC2), 2016 IEEE International. IEEE, 10.1109/ISC2.2016.7580876 |
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Jayan, Bejay, Li, Haijiang, Rezgui, Yacine, Hippolyte, Jean-Laurent and Howell, Shaun Kevin 2016. An analytical optimization model for holistic multiobjective district energy management - a case study approach. International Journal of Modeling and Optimization 6 (3) , pp. 156-165. 10.7763/IJMO.2016.V6.521 |
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Petri, Ioan, Li, Haijiang, Rezgui, Yacine, Yang, Chunfeng, Yuce, Baris and Jayan, Bejay 2016. A HPC based cloud model for real-time energy optimisation. Enterprise Information Systems 10 (1) , pp. 108-128. 10.1080/17517575.2014.919053 |
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Jayan, Bejay
2016.
Real-time Multi-scale Smart Energy Management and Optimisation (REMO) for buildings and their district.
PhD Thesis,
Cardiff University.
Item availability restricted. |
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Petri, Ioan, Li, Haijiang, Rezgui, Yacine, Chunfeng, Yang, Yuce, Baris and Jayan, Bejay 2014. A modular optimisation model for reducing energy consumption in large scale building facilities. Renewable and Sustainable Energy Reviews 38 , pp. 990-1002. 10.1016/j.rser.2014.07.044 |
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Yuce, Baris, Li, Haijiang, Rezgui, Yacine, Petri, Ioan, Jayan, Bejay and Yang, Chunfeng 2014. Utilizing artificial neural network to predict energy consumption and thermal comfort level: an indoor swimming pool case study. Energy and Buildings 80 , pp. 45-56. 10.1016/j.enbuild.2014.04.052 |
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Yang, Chunfeng, Li, Haijiang, Rezgui, Yacine, Petri, Ioan, Yuce, Baris, Chen, Biaosong and Jayan, Bejay 2014. High throughput computing based distributed genetic algorithm for building energy consumption optimization. Energy and Buildings 76 , pp. 92-101. 10.1016/j.enbuild.2014.02.053 |
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