Effect of different atmospheric boundary layers on the wake characteristics of NREL phase VI wind turbine IFSA Kabir, EYK Ng Renewable energy 130, 1185-1197, 2019 | 48 | 2019 |
Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for … IFSA Kabir, EYK Ng Energy 120, 518-536, 2016 | 47 | 2016 |
Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake S Purohit, EYK Ng, IFSA Kabir Renewable Energy 184, 405-420, 2022 | 33 | 2022 |
New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows IFSA Kabir, F Safiyullah, EYK Ng, VWY Tam Energy 193, 116761, 2020 | 33 | 2020 |
Design and Performance Comparison of Two Patterns of Wind-catcher for a Semi-enclosed Courtyard N Benkari, I Fazil, A Husain International Journal of Mechanical Engineering and Robotics Research 6 (5 …, 2017 | 33 | 2017 |
Performance evaluation of air flow and thermal comfort in the room with Wind-Catcher using different CFD techniques under neutral Atmospheric Boundary Layer IFSA Kabir, S Kanagalingam, F Safiyullah Energy Procedia 143, 199-203, 2017 | 24 | 2017 |
On the accuracy of uRANS and LES-based CFD modeling approaches for rotor and wake aerodynamics of the (New) MEXICO wind turbine rotor phase-iii S Purohit, IFSA Kabir, EYK Ng Energies 14 (16), 5198, 2021 | 16 | 2021 |
Novel machine-learning-based stall delay correction model for improving blade element momentum analysis in wind turbine performance prediction IF Syed Ahmed Kabir, MK Gajendran, EYK Ng, A Mehdizadeh, ... Wind 2 (4), 636-658, 2022 | 14 | 2022 |
On the limitations of machine learning (ml) methodologies in predicting the wake characteristics of wind turbines MK Gajendran, IFSA Kabir, S Purohit, EYK Ng Renewable Energy Systems in Smart Grid: Select Proceedings of International …, 2022 | 8 | 2022 |
Machine Learning-Based Approach to Wind Turbine Wake Prediction under Yawed Conditions MK Gajendran, IFSA Kabir, S Vadivelu, EYK Ng Journal of Marine Science and Engineering 11 (11), 2111, 2023 | 7 | 2023 |
Improvement of bem analysis to incorporate stall delay effect and the study of atmospheric boundary layer effect on the wake characteristics of NREL phase VI turbine IFSA Kabir | 3 | 2018 |
An XAI Framework for Predicting Wind Turbine Power under Rainy Conditions Developed Using CFD Simulations IF Syed Ahmed Kabir, MK Gajendran, PMP Taslim, SR Boopathy, EYK Ng, ... Atmosphere 15 (8), 929, 2024 | 2 | 2024 |
Machine learning techniques in indoor environmental quality assessment MK Gajendran, IFSA Kabir, EEYK Ng, S Vadivelu, RC Thota IntechOpen, 2023 | 1 | 2023 |
Cryogenic carbon capture using efficacious exchange of waste heat energy from flue gas with waste cold energy from LNG F Rahman, I Kabir, MK Gajendran, S Vadivelu, EYK Ng 2023 2nd International Conference on Advanced Electronics, Electrical and …, 2023 | 1 | 2023 |
Correction to: Priority of Mixed-Mode Ventilation during Epidemics: A Comprehensive Investigation IFSA Kabir, MK Gajendran, EEYK Ng IntechOpen, 2024 | | 2024 |
Optimizing Mixed-Mode Ventilation during Epidemics: An Investigation IFSA Kabir, MK Gajendran, EYK Ng IntechOpen, 2024 | | 2024 |
Novel interpretable wake model using Machine Learning based symbolic regression for wind turbines MA Khan, MK Gajendran, I Kabir, S Vadivelu, EYK Ng, A Mehdizadeh 2023 2nd International Conference on Advanced Electronics, Electrical and …, 2023 | | 2023 |
Modelling the Effective Thermal Conductivity of Particulate Reinforced Composites using APDL and Genetic Programing F Safiyullah, V Tam, I Fazil, A Berrouk Available at SSRN 3406986, 2019 | | 2019 |
Priority of Mixed-Mode Ventilation during Epidemics: A Comprehensive Investigation IF Syed Ahmed Kabir, MK Gajendran, EYK Ng Advancements in Indoor Environmental Quality and Health, 0 | | |