On big data, artificial intelligence and smart cities Z Allam, AZ Dhunny Cities 89, 80-91, 2019 | 1057 | 2019 |
Wind energy evaluation for a highly complex terrain using Computational Fluid Dynamics (CFD) AZ Dhunny, MR Lollchund, S Rughooputh Renewable Energy 101, 1-9, 2017 | 109 | 2017 |
Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling AZ Dhunny, JRS Doorga, Z Allam, MR Lollchund, R Boojhawon Energy 188, 116056, 2019 | 86 | 2019 |
Sustainable renewable energy planning and wind farming optimization from a biodiversity perspective AZ Dhunny, Z Allam, D Lobine, MR Lollchund Energy 185, 1282-1297, 2019 | 47 | 2019 |
Cost minimization for fully renewable electricity systems: A Mauritius case study D Timmons, AZ Dhunny, K Elahee, B Havumaki, M Howells, ... Energy Policy 133, 110895, 2019 | 41 | 2019 |
An economic assessment of near-shore wind farm development using a weather research forecast-based genetic algorithm model AZ Dhunny, DS Timmons, Z Allam, MR Lollchund, TSM Cunden Energy 201, 117541, 2020 | 29 | 2020 |
Towards smart urban regeneration: Findings of an urban footprint survey in Port Louis, Mauritius Z Allam, AZ Dhunny, G Siew, DS Jones Smart Cities 1 (1), 7, 2018 | 24 | 2018 |
Statistical Modelling of Wind Speed Data for Mauritius AZ Dhunny, RM Lollchund, R Boojhawon, SDDV Rughooputh International Journal of Renewable Energy Research (IJRER) 4 (4), 1056-1064, 2014 | 21 | 2014 |
Investigation of multi-level wind flow characteristics and pedestrian comfort in a tropical city AZ Dhunny, N Samkhaniani, MR Lollchund, S Rughooputh Urban Climate 24, 185-204, 2018 | 19 | 2018 |
Numerical analysis of wind flow patterns over complex hilly terrains: comparison between two commonly used CFD software AZ Dhunny, MR Lollchund, SDDV Rughooputh International Journal of Global Energy Issues, 2016 | 19 | 2016 |
A High resolution mapping of wind energy potentials for Mauritus using Computational Fluid Dynamics (CFD) A Dhunny, M Lollchund, S Rughooputh Wind and Structures 20 (4), 565-578, 2015 | 16 | 2015 |
Flood Prediction using Artificial Neural Networks: Empirical Evidence from Mauritius as a Case Study. AZ Dhunny, RH Seebocus, Z Allam, MY Chuttur, M Eltahan, H Mehta Knowl. Eng. Data Sci. 3 (1), 1-10, 2020 | 12 | 2020 |
Evaluation of a wind farm project for a smart city in the South-East Coastal Zone of Mauritius AZ Dhunny, MR Lollchund, SDDV Rughooputh Journal of Energy in Southern Africa 27 (1), 39-50, 2016 | 12 | 2016 |
Long‐Term Wind Characteristics at Selected Locations in Mauritius for Power Generation AZ Dhunny, MR Lollchund, S Rughooputh Journal of Wind Energy 2015 (1), 613936, 2015 | 11 | 2015 |
Sensitivity Analysis of WRF Model for Wind Modelling Over a Complex Topography Under Extreme Weather Conditions TSM Cunden, AZ Dhunny, MR lollchund, S Rughooputh IEEE, 2018 | 10 | 2018 |
Computational fluid dynamics simulation and full-scale experimental model inter-comparison of the wind flow around a university campus AZ Dhunny, F Toja-Silva, C Peralta, MR Lollchund, S Rughooputh Wind Engineering 41 (1), 43-54, 2017 | 10 | 2017 |
A decentralized model of Wind turbine optimization AZ Dhunny, Z Allam, MR Lollchund, K Dookhitram, S Rughooputh Wind Engineering 44 (2), 208-222, 2020 | 3 | 2020 |
Modelling the effects of wind farming on the local weather using Weather Research and Forecasting (WRF) model BO Jawaheer, AZ Dhunny, C TSM, MRLN Chandrasekaran Springer, 219-231, 2019 | 2 | 2019 |
Diversity of participant representation within the 66th Lindau Nobel Laureate Meeting SC Ndlovu, A Marais, PT Shabangu, LL Noto, JN Greiner, NE Engelbrecht, ... South African Journal of Science 114 (3-4), 1-4, 2018 | 2 | 2018 |
WIND FLOW ANALYSIS OVER COMPLEX HILLY TERRAINS USING COMPUTATIONAL FLUID DYNAMICS AZ Dhunny, MR Lollchund, S Rughooputh Proceedings of RESUS Conference, 2015 | 1 | 2015 |