Wind energy: fundamentals, resource analysis and economics S Mathew Wind Energy: Fundamentals Resource Analysis and Economics, 2006 | 1744* | 2006 |
Analysis of wind regimes for energy estimation S Mathew, KP Pandey Renewable energy 25 (3), 381-399, 2002 | 218 | 2002 |
EnergyPlus models for the benchmarking of residential buildings in Brunei Darussalam V Shabunko, CM Lim, S Mathew Energy and Buildings, 2018 | 125 | 2018 |
Advances in wind energy and conversion technology S Mathew, GS Philip Springer, 2011 | 107 | 2011 |
Advances in wind energy conversion technology M Sathyajith, GS Philip Springer Science & Business Media, 2011 | 42 | 2011 |
Wind Turbines: Evolution, Basic Principles, and Classifications S Mathew, P G S Comprehensive Renewable Energy, Elsevier, 2012 | 36 | 2012 |
Modelling the integrated output of wind-driven roto-dynamic pumps S Mathew, KP Pandey Renewable Energy 28 (7), 1143-1155, 2003 | 35 | 2003 |
Developing building benchmarking for Brunei Darussalam SM V. Shabunko, C.M. Lim, S. Brahim Energy and Buildings 85 (December), 79-85, 2014 | 34 | 2014 |
Numerical simulation of flow over an airfoil for small wind turbines using the γ−Reθ model CML Haseeb Shah , Sathyajith Mathew International Journal of Energy and Environmental Engineering, 2015 | 33* | 2015 |
A novel low Reynolds number airfoil design for small horizontal axis wind turbines H Shah, S Mathew, CM Lim Wind Engineering 38 (4), 377-391, 2014 | 31 | 2014 |
Artificially intelligent models for the site-specific performance of wind turbines R Veena, S Mathew, MI Petra International Journal of Energy and Environmental Engineering 11, 289-297, 2020 | 30 | 2020 |
Sustainable energy towards air pollution and climate change mitigation AR Adedeji, F Zaini, S Mathew, L Dagar, MI Petra, LC De Silva Journal of environmental management 260, 109978, 2020 | 30 | 2020 |
Analysis of wind regimes and performance of wind turbines S Mathew, GS Philip, CM Lim Advances in Wind Energy Conversion Technology, 71-83, 2011 | 27 | 2011 |
Estimating the Wake Losses in Large Wind Farms: A machine learning approach LCM Japar, F. Mathew., S., Narayanaswamy, B., Hazra, J Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES, 2014 | 24* | 2014 |
Intelligent estimation of wind farm performance with direct and indirect ‘point’forecasting approaches integrating several NWP models G Yakoub, S Mathew, J Leal Energy 263, 125893, 2023 | 22 | 2023 |
Fundamentals, Resource Analysis and Economics S Mathew, W Energy Wind Energy: 1st Ed. New York: Springer 1695, 2006 | 20 | 2006 |
Matching the Characteristics of Low Wind Speed Turbines with Candidate Wind Regimes S Mathew, CM Lim, MI Petra, GS Philip, M Noorfathin, SM Manuel, V Raj Energy Procedia 95 (September 2016), 286–293, 2016 | 18 | 2016 |
A method for estimating the surface area of ellipsoidal food materials VA Kumar, S Mathew Biosystems Engineering 85 (1), 1-5, 2003 | 18 | 2003 |
Modelling the integrated output of mechanical wind pumps S Mathew, KP Pandey J. Sol. Energy Eng. 122 (4), 203-206, 2000 | 16 | 2000 |
Low Reynolds Number Airfoil for Small Horizontal Axis Wind Turbine Blades CML Haseeb Shah, Nikesh Bhattarai, Sathyajith Mathew SUSTAINABLE FUTURE ENERGY 2012 and 10th SEE FORUM, 243-249, 2012 | 15* | 2012 |