| 1 |
Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm
Reynolds J, Ahmad MW, Rezgui Y, Hippolyte JL
Applied Energy, 235, 699, 2019 |
| 2 |
Studies of high pressure 1,3-butadiene flame speeds and high temperature kinetics using hydrogen and oxygen sensitization
Zhao H, Zhang ZH, Rezgui Y, Zhao NB, Ju YG
Combustion and Flame, 200, 135, 2019 |
| 3 |
Studies of low temperature oxidation of n-pentane with nitric oxide addition in a jet stirred reactor
Zhao H, Wu LN, Patrick C, Zhang ZH, Rezgui Y, Yang XL, Wysocki G, Ju YG
Combustion and Flame, 197, 78, 2018 |
| 4 |
Counterflow flame experiments and chemical kinetic modeling of dimethyl ether/methane mixtures
Reuter CB, Zhang R, Yehia OR, Rezgui Y, Ju YG
Combustion and Flame, 196, 1, 2018 |
| 5 |
A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control
Reynolds J, Rezgui Y, Kwan A, Piriou S
Energy, 151, 729, 2018 |
| 6 |
Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
Ahmad MW, Mourshed M, Rezgui Y
Energy, 164, 465, 2018 |
| 7 |
Holistic modelling techniques for the operational optimisation of multi-vector energy systems
Reynolds J, Ahmad MW, Rezgui Y
Energy and Buildings, 169, 397, 2018 |
| 8 |
A novel concept to measure envelope thermal transmittance and air infiltration using a combined simulation and experimental approach
Li Y, Rezgui Y
Energy and Buildings, 140, 380, 2017 |
| 9 |
Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
Ahmad MW, Mourshed M, Rezgui Y
Energy and Buildings, 147, 77, 2017 |
| 10 |
Effect of hydrogen addition on equimolar dimethyl ether/iso-octane/oxygen/argon premixed flames
Rezgui Y, Guemini M
International Journal of Hydrogen Energy, 42(49), 29557, 2017 |
