Improving load forecasting process for a power distribution network using hybrid AI and deep learning algorithms S Motepe, AN Hasan, R Stopforth IEEE Access 7, 82584-82598, 2019 | 100 | 2019 |
Deep learning in object detection: A review KL Masita, AN Hasan, T Shongwe 2020 International Conference on Artificial Intelligence, Big Data …, 2020 | 90 | 2020 |
Efficient photovoltaic MPPT system using coarse Gaussian support vector machine and artificial neural network techniques AM Farayola, AN Hasan, A Ali International Journal of Innovative Computing Information and Control …, 2018 | 56 | 2018 |
Comprehensive evaluation of machine learning MPPT algorithms for a PV system under different weather conditions MS Nkambule, AN Hasan, A Ali, J Hong, ZW Geem Journal of Electrical Engineering & Technology 16, 411-427, 2021 | 55 | 2021 |
Curve fitting polynomial technique compared to ANFIS technique for maximum power point tracking AM Farayola, AN Hasan, A Ali 2017 8th International Renewable Energy Congress (IREC), 1-6, 2017 | 52 | 2017 |
The use of machine learning techniques to classify power transmission line fault types and locations AN Hasan, PSP Eboule, B Twala 2017 International Conference on Optimization of Electrical and Electronic …, 2017 | 49 | 2017 |
Perturb and observe based on fuzzy logic controller maximum power point tracking (MPPT) A Ali, AN Hasan, T Marwala 2014 International Conference on Renewable Energy Research and Application …, 2014 | 49 | 2014 |
Implementation of modified incremental conductance and fuzzy logic MPPT techniques using MCUK converter under various environmental conditions AM Farayola, AN Hasan, A Ali Applied Solar Energy 53, 173-184, 2017 | 48 | 2017 |
Forecasting hourly solar radiation using artificial intelligence techniques CN Obiora, AN Hasan, A Ali, N Alajarmeh IEEE Canadian Journal of Electrical and Computer Engineering 44 (4), 497-508, 2021 | 35 | 2021 |
Forecasting hourly solar irradiance using long short-term memory (LSTM) network CN Obiora, A Ali, AN Hasan 2020 11th International Renewable Energy Congress (IREC), 1-6, 2020 | 33 | 2020 |
Optimization of PV systems using data mining and regression learner MPPT techniques AM Farayola, AN Hasan, A Ali Indonesian Journal of Electrical Engineering and Computer Science 10 (3 …, 2018 | 31 | 2018 |
Distributive MPPT approach using ANFIS and perturb&observe techniques under uniform and partial shading conditions AM Farayola, AN Hasan, A Ali, B Twala Artificial Intelligence and Evolutionary Computations in Engineering Systems …, 2018 | 29 | 2018 |
The impact of short-term incentives on physical activity in a UK behavioural incentives programme C Hajat, A Hasan, S Subel, A Noach NPJ digital medicine 2 (1), 91, 2019 | 28 | 2019 |
Comparison of modified incremental conductance and fuzzy logic MPPT algorithm using modified CUK converter AM Farayola, AN Hasan, A Ali 2017 8th International Renewable Energy Congress (IREC), 1-6, 2017 | 28 | 2017 |
Estimation of hourly global solar radiation using deep learning algorithms CN Obiora, A Ali, AN Hasan 2020 11th International Renewable Energy Congress (IREC), 1-6, 2020 | 27 | 2020 |
Pedestrian detection using R-CNN object detector KL Masita, AN Hasan, S Paul 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2018 | 26 | 2018 |
Heart disease prediction using machine learning techniques R Williams, T Shongwe, AN Hasan, V Rameshar 2021 international conference on data analytics for business and industry …, 2021 | 23 | 2021 |
MPPT under partial shading conditions based on Perturb & Observe and Incremental Conductance MS Nkambule, AN Hasan, A Ali 2019 11th International Conference on Electrical and Electronics Engineering …, 2019 | 23 | 2019 |
Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques AN Hasan, B Twala IEEE EUROCON 2015-International Conference on Computer as a Tool (EUROCON), 1-7, 2015 | 23 | 2015 |
Optimization of the Compressed Air-Usage in South African Mines BT A N Hassan, K Ouahada, T Marwala AFRICON 2011, 2011 | 21* | 2011 |