| Optimal dispatch for a microgrid incorporating renewables and demand response NI Nwulu, X Xia Renewable energy 101, 16-28, 2017 | 374 | 2017 |
| A comparative analysis of gradient descent-based optimization algorithms on convolutional neural networks EM Dogo, OJ Afolabi, NI Nwulu, B Twala, CO Aigbavboa 2018 international conference on computational techniques, electronics and …, 2018 | 314 | 2018 |
| Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs NI Nwulu, X Xia Energy Conversion and Management 89, 963-974, 2015 | 218 | 2015 |
| Optimisation of renewable energy powered reverse osmosis desalination systems: A state-of-the-art review EJ Okampo, N Nwulu Renewable and Sustainable Energy Reviews 140, 110712, 2021 | 157 | 2021 |
| Blockchain and internet of things-based technologies for intelligent water management system EM Dogo, AF Salami, NI Nwulu, CO Aigbavboa Artificial intelligence in IoT, 129-150, 2019 | 91 | 2019 |
| Multi‐objective optimisation for composite generation and transmission expansion planning considering offshore wind power and feed‐in tariffs SL Gbadamosi, NI Nwulu, Y Sun IET Renewable Power Generation 12 (14), 1687-1697, 2018 | 83 | 2018 |
| A multi-period composite generation and transmission expansion planning model incorporating renewable energy sources and demand response SL Gbadamosi, NI Nwulu Sustainable Energy Technologies and Assessments 39, 100726, 2020 | 81 | 2020 |
| A survey of machine learning methods applied to anomaly detection on drinking-water quality data EM Dogo, NI Nwulu, B Twala, C Aigbavboa Urban Water Journal 16 (3), 235-248, 2019 | 79 | 2019 |
| Integrating fourth industrial revolution (4IR) technologies into the water, energy & food nexus for sustainable security: A bibliometric analysis LO David, NI Nwulu, CO Aigbavboa, OO Adepoju Journal of Cleaner Production 363, 132522, 2022 | 78 | 2022 |
| Implementing a model predictive control strategy on the dynamic economic emission dispatch problem with game theory based demand response programs NI Nwulu, X Xia Energy 91, 404-419, 2015 | 78 | 2015 |
| Intelligent prediction of crude oil price using Support Vector Machines A Khashman, NI Nwulu 2011 IEEE 9th international symposium on applied machine intelligence and …, 2011 | 70 | 2011 |
| Review on DC collection grids for offshore wind farms with high‐voltage DC transmission system K Musasa, NI Nwulu, MN Gitau, RC Bansal IET Power Electronics 10 (15), 2104-2115, 2017 | 68 | 2017 |
| Microgrid energy and reserve management incorporating prosumer behind‐the‐meter resources U Damisa, NI Nwulu, Y Sun IET Renewable Power Generation 12 (8), 910-919, 2018 | 62 | 2018 |
| Support vector machines versus back propagation algorithm for oil price prediction A Khashman, NI Nwulu Advances in Neural Networks–ISNN 2011: 8th International Symposium on Neural …, 2011 | 55 | 2011 |
| Reliability assessment of composite generation and transmission expansion planning incorporating renewable energy sources SL Gbadamosi, NI Nwulu Journal of Renewable and Sustainable Energy 12 (2), 2020 | 49 | 2020 |
| Optimal power dispatch and reliability analysis of hybrid CHP-PV-wind systems in farming applications SL Gbadamosi, NI Nwulu Sustainability 12 (19), 8199, 2020 | 48 | 2020 |
| Environmental degradation, energy consumption and sustainable development: accounting for the role of economic complexities with evidence from World Bank income clusters FF Adedoyin, N Nwulu, FV Bekun Business Strategy and the Environment 30 (5), 2727-2740, 2021 | 46 | 2021 |
| Optimal hybrid renewable energy system: A comparative study of wind/hydrogen/fuel-cell and wind/battery storage A Acakpovi, P Adjei, N Nwulu, NY Asabere Journal of Electrical and Computer Engineering 2020, 1-15, 2020 | 44 | 2020 |
| A review and identification of persistent and emerging prepaid electricity meter trends N Kambule, K Yessoufou, N Nwulu Energy for sustainable development 43, 173-185, 2018 | 42 | 2018 |
| Modelling and predicting electricity consumption using artificial neural networks NI Nwulu, OP Agboola 2012 11th International Conference on Environment and Electrical Engineering …, 2012 | 42 | 2012 |
Xiaohua Xia, FIEEEUniversity of PretoriaEmail verificata su up.ac.za
