Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Engineering
49
Scopus Publications
3143
Scholar Citations
24
Scholar h-index
34
Scholar i10-index
Scopus Publications
Optimal Scheduling Strategies for Smart Homes Integrated with Grid-Connected Hybrid Renewable Energy Systems Temitope Adefarati, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar Energies, 2026 The increasing demand for sustainable energy in residential buildings and public concerns on greenhouse gas (GHG) emissions has driven the integration of smart homes with hybrid renewable energy systems (HRESs). This research proposes an optimal scheduling strategy for home energy consumption in a grid-connected HRES that comprises a grid, wind turbines, photovoltaics and battery storage systems. The objective of the study is to reduce the net energy cost, scheduling inconvenience cost (SIC), GHG cost and battery degradation cost. An ant colony optimization algorithm is utilized in the MATLAB environment, with load profiles and meteorological data of Upington, South Africa, obtained from NASA and a residential consumption dataset to accomplish the objectives of the study. The outcomes of the study show that case study 3 is the most feasible configuration based on a net energy revenue cost of $9.8382, GHG cost of $0.0627, battery degradation cost of $0.461 and SIC of $0.66. Simulation results demonstrate that energy purchased from the grid has been reduced by 98% and 48% relative to case studies 1 and 2. The results of the study can assist households to improve the sustainability and resilience of the power system in residential environments where the grid supply is unstable and electricity costs are high.
Advancing Renewable-Dominant Power Systems Through Internet of Things and Artificial Intelligence: A Comprehensive Review Temitope Adefarati, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar Energies, 2025 The sudden increase in global energy demand has prompted the integration of Artificial Intelligence and the Internet of Things into the utility grid. The synergy of Artificial Intelligence and the Internet of Things in renewable energy sources has emerged as a promising solution for the development of smart grids and a transformative catalyst that restructures centralized power systems into resilient and sustainable systems. The state-of-the-art of the Internet of Things and Artificial Intelligence is presented in this paper to support the design, planning, operation, management and optimization of renewable energy-based power systems. This paper outlines the benefits of smart and resilient energy systems and the contributions of the Internet of Things across several applications, devices and networks. Artificial Intelligence can be utilized for predictive maintenance, demand-side management, fault detection, forecasting and scheduling. This paper highlights crucial future research directions aimed at overcoming the challenges that are associated with the adoption of emerging technologies in the power system by focusing on market policy and regulation and the human-centric and ethical aspects of Artificial Intelligence and the Internet of Things. The outcomes of this study can be used by policymakers, researchers and development agencies to improve global access to electricity and accelerate the development of sustainable energy systems.
The Innovative Configurations of Power Electronics Converters in Electric Vehicle Technology A. K. Onaolapo, R. Sarma, K. T. Akindeji, T. Adefarati Wseas Transactions on Electronics, 2025 Due to improved efficiency and lower greenhouse gas emissions, electric motors, also known as traction motors, are gradually replacing internal combustion engines (ICEs). Batteries and ultra-capacitors provide all or some of the electrical energy needed for the electric vehicle (EV) to run. In a plug-in or hybrid electric automobile, the internal combustion engine provides the charging energy for the battery or ultra-capacitor. At the same time, the AC supply connected to the grid line does the same. Regenerative braking is how the electric motor charges the battery. The plug-in electric automobile returns the energy from the battery or ultra-capacitor to the AC grid. The conversion process between an electric motor and the grid, and vice versa, requires power electronic converters (PECs). This study clarifies the purpose of PECs in EVs. EV power conversion relies heavily on the bidirectional DC-DC converter. Present are comprehensive analysis, comparison, and implementation of contemporary bidirectional DC-DC converter topologies. The analysis is done on improving PECs to increase the vehicle system's dependability and efficiency.
Integrated encoder-decoder-based wide and deep convolution neural networks strategy for electricity theft arbitration Manoj Kumawat, Adeniyi Onaolapo, Gulshan Sharma, Ibrahim Cagri Barutcu, Temitope Adefarati, et al. Journal of Engineering and Applied Science, 2024 Integrating energy systems with information systems in smart grids offers a promising avenue for combating electricity theft by leveraging real-time data insights. Suspicious activity indicative of theft can be identified through anomalous consumption patterns observed in smart networks. However, a smart model is required for capturing and analysing the data intelligently to accurately detect electricity theft. In the paper, electricity theft has been detected using an encoder-decoder-based classifier that integrates two models of convolutional neural networks (CNN). The aim is to scan the strength of the data and built a smart model that analysed the connections in complex data and determine the pattern of theft. The model comprises three compartments: the auto-encoder, the wide convolutional neural network (1-D CNN model), and the deep convolutional neural network (2-D CNN model). The auto-encoder has been trained on the complex and in-depth linkage between the theft data and the normal data as it removes noise and unnecessary information. The 1-D CNN model gathers relevant connections and general features, while the 2-D CNN model determines the rate at which energy theft occurs and differentiates between the energy-stealing consumers and normal consumers. The efficacy of the approach is underscored by its superiority over traditional deep learning and machine learning techniques. This paper elucidates the distinct advantages and applications of the proposed model in combating electricity theft within smart grid environments.
A Comprehensive Review of the Smart Microgrids’ Modeling and Control Methods for Sustainable Developments Adeniyi Kehinde Onaolapo, Kayode Timothy Akindeji, Temitope Adefarati, Katleho Moloi Wseas Transactions on Power Systems, 2024 Estimation strategies and hierarchical control measures are required for the successful operations of microgrids. These strategies and measures monitor the processes within the control variables and coordinate the system dynamics. State-of-the-art frameworks and tools are built into innovative grid technologies to model different structures and forms of microgrids and their dynamic behaviors. Smart grids’ dynamic models were developed by reviewing different estimation strategies and control technologies. A Microgrid control system is made up of primary, secondary, and tertiary hierarchical layers. These architectures are measured and monitored by real-time system parameters. Different estimation schemes and control strategies manage microgrid control layers’ dynamic performances. The control strategies in the developed technologies dynamics were accessed in the grid environment. The control strategies were modeled for microgrids using six design layers: adaptive, intelligent, robust, predictive, linear, and non-linear. The estimation schemes were assessed using microgrid controllers’ modeling efficiency. Hierarchical control strategies were also developed to optimize the operation of microgrids. Hence, this research will inform policy-making decisions for monitoring, controlling, and safeguarding the optimal design strategies for modeling microgrids.
Power Management of a Grid-Connected Wind Energy System T. Adefarati, B. Mokoena, R. C. Bansal, R. Naidoo 2020 International Conference on Power Electronics and Iot Applications in Renewable Energy and Its Control Parc 2020, 2020
Non-renewable distributed generation technologies: A review Temitope Adefarati, Numbi Bubele Papy, Miriam Thopil, Henerica Tazvinga Handbook of Distributed Generation Electric Power Technologies Economics and Environmental Impacts, 2017
Distributed renewable energy technologies Henerica Tazvinga, Miriam Thopil, Papy B. Numbi, Temitope Adefarati Handbook of Distributed Generation Electric Power Technologies Economics and Environmental Impacts, 2017
Optimal Scheduling Strategies for Smart Homes Integrated with Grid-Connected Hybrid Renewable Energy Systems PNBRK Temitope Adefarati, Gulshan Sharma Energies 19 (5), 1174 , 2026 2026
Optimal Scheduling Strategies for Smart Homes Integrated with Grid-Connected Hybrid Renewable Energy Systems PNBRK Temitope Adefarati, Gulshan Sharma Energies 19 (5), 1174 , 2026 2026
Design and Analysis of Grid-Connected Photovoltaic-Battery Hybrid Energy System for Remote Area Electrification: A Case Study of Kakuma, Kenya EO Badmus, D Nowak-Woźnya, T Adefarati, G Sharma, OP Odekunle, ... Journal of Solar Energy Research 10 (2), 2384-2405 , 2025 2025
Optimization of renewable energy based hybrid energy system using evolutionary computational techniques T Adefarati, S Potgieter, G Sharma, RC Bansal, AK Onaolapo, ... Smart grids and sustainable energy 10 (1), 15 , 2025 2025 Citations: 13
Effect of Temperature Coefficient Evaluation on Optimal Analysis of Hybrid Energy Systems for a Mall in KwaZulu-Natal, South Africa TA A. K Onaolapo, R. Sarma, K. T. Akindeji, N. F. Mtukushe, A. O. Aluko NIPES - Journal of Science and Technology Research 7 (3), 185–194 , 2025 2025
Advancing Renewable-Dominant Power Systems Through Internet of Things and Artificial Intelligence: A Comprehensive Review PNBRK Temitope Adefarati,Gulshan Sharma Energies 18 (19), 5243 , 2025 2025 Citations: 9
Effect of Temperature Coefficient Evaluation on Optimal Analysis of Hybrid Energy Systems for a Mall in KwaZulu-Natal, South Africa TA A. K Onaolapo, R. Sarma, K. T. Akindeji, N. F. Mtukushe, A. O. Aluko NIPES - Journal of Science and Technology Research 7 (3), 185–194 , 2025 2025 Citations: 1
The Innovative Configurations of Power Electronics Converters in Electric Vehicle Technology TA A. K. Onaolapo, R. Sarma, K. T. Akindeji WSEAS Transactions on Electronics 16, 95-112 , 2025 2025
Evaluating Global Horizontal Irradiance in the North-East Zone of Nigeria using Angstrom-Prescott and Hargreaves-Samani Models FI Bawonda, T Adefarati, I Haruna, JA Onipe, AO Abubakar, PO Adebayo, ... Adeleke University Journal of Engineering and Technology 7 (1), 027-041 , 2024 2024
Design and techno-economic assessment of a standalone photovoltaic-diesel-battery hybrid energy system for electrification of rural areas: A step towards sustainable development T Adefarati, RC Bansal, R Naidoo, KA Onaolapo, M Bettayeb, PK Olulope, ... Renewable Energy 227, 120556 , 2024 2024 Citations: 17
A comprehensive review of the smart microgrids’ modeling and control methods for sustainable developments AK Onaolapo, KT Akindeji, T Adefarati, K Moloi WSEAS Transactions on Power Systems 19 (26), 285-306 , 2024 2024 Citations: 6
DESIGN OF PHOTOVOLTAIC-WIND-DIESEL-BATTERY HYBRID ENERGY SYSTEM: PERSPECTIVE OF ENERGY MANAGEMENT SYSTEM FOR STAND ALONE POWER SOLUTION GSBAS T. Adefarati, F. I. Bawonda, P. K. Olulope, J. A. Onipe, K.O. Adisa, H ... ARID ZONE JOURNAL OF ENGINEERING, TECHNOLOGY & ENVIRONMENT 20 (1), 113-132 , 2024 2024
Integrated encoder-decoder-based wide and deep convolution neural networks strategy for electricity theft arbitration M Kumawat, A Onaolapo, G Sharma, I Barutcu, T Adefarati Journal of Engineering and Applied Science 71, 94 , 2024 2024 Citations: 5
Integrated encoder-decoder-based wide and deep convolution neural networks strategy for electricity theft arbitration TARB Manoj Kumawat, Adeniyi Onaolapo, Gulshan Sharma, Ibrahim Cagri Barutcu Journal of Engineering and Applied Science 71 (94), 1-18 , 2024 2024 Citations: 5
Techno-Economic Analysis of an off-grid PV/diesel/battery Hybrid Energy System Utilizing Solar Tracking Techniques T Adefarati, FI Bawonda, YJ Isah, M Hassan, AP Achuba, AI Adama Adeleke University Journal of Engineering and Technology 6 (2), 202-216 , 2023 2023
Technical and Financial Assessment of Photovoltaic-Diesel Generator-Battery Hybrid Energy System for a Base Transceiver Station in Nigeria T Adefarati, FI Bawonda, KR Ekundayo, MA Adawudi, I Saliu, M Hassan Adeleke University Journal of Engineering and Technology 6 (2), 111-125 , 2023 2023
Optimal energy management, technical, economic, social, political and environmental benefit analysis of a grid-connected PV/WT/FC hybrid energy system T Adefarati, RC Bansal, T Shongwe, R Naidoo, M Bettayeb, AK Onaolapo Energy Conversion and Management 292, 117390 , 2023 2023 Citations: 69
A review of small-signal stability analysis of DFIG-based wind power system NR Nkosi, RC Bansal, T Adefarati, RM Naidoo, SK Bansal International Journal of Modelling and Simulation 43 (3), 153-170 , 2023 2023 Citations: 25
A comprehensive review of the design and operations of a sustainable hybrid power system RCB A. K. Onaolapo, G. Sharma, P. N. Bokoro, T. Adefarati Computers and Electrical Engineering 111, 108954 , 2023 2023
A comprehensive review of the design and operations of a sustainable hybrid power system RCB A. K. Onaolapo, G. Sharma, P. N. Bokoro, T. Adefarati Computers and Electrical Engineering 111, 108954 , 2023 2023
MOST CITED SCHOLAR PUBLICATIONS
Integration of renewable distributed generators into the distribution system: a review T Adefarati, RC Bansal IET Renewable Power Generation 10 (7), 873-884 , 2016 2016 Citations: 760
Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources T Adefarati, RC Bansal Applied energy 236, 1089-1114 , 2019 2019 Citations: 548
Reliability assessment of distribution system with the integration of renewable distributed generation T Adefarati, RC Bansal Applied energy 185, 158-171 , 2017 2017 Citations: 344
Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources T Adefarati, RC Bansal Applied Energy 206, 911-933 , 2017 2017 Citations: 246
Reliability and economic evaluation of a microgrid power system T Adefarati, RC Bansal, JJ Justo Energy Procedia 142, 43-48 , 2017 2017 Citations: 111
Techno‐economic analysis of a PV–wind–battery–diesel standalone power system in a remote area T Adefarati, RC Bansal, J John Justo The Journal of Engineering 2017 (13), 740-744 , 2017 2017 Citations: 93
The impacts of PV-wind-diesel-electric storage hybrid system on the reliability of a power system T Adefarati, RC Bansal Energy Procedia 105, 616-621 , 2017 2017 Citations: 87
Optimal energy management of a PV-WTG-BSS-DG microgrid system T Adefarati, RC Bansal, M Bettayeb, R Naidoo Energy 217, 119358 , 2021 2021 Citations: 82
Energizing renewable energy systems and distribution generation T Adefarati, RC Bansal Pathways to a smarter power system, 29-65 , 2019 2019 Citations: 77
Optimal energy management, technical, economic, social, political and environmental benefit analysis of a grid-connected PV/WT/FC hybrid energy system T Adefarati, RC Bansal, T Shongwe, R Naidoo, M Bettayeb, AK Onaolapo Energy Conversion and Management 292, 117390 , 2023 2023 Citations: 69
Techno-economic evaluation of a grid-connected microgrid system T Adefarati, GD Obikoya International Journal of Green Energy 16 (15), 1497-1517 , 2019 2019 Citations: 68
Economic optimal load management control of microgrid system using energy storage system TA N. T. Mbungu, T. Madiba, R. C. Bansal, M. Bettayeb, R. M. Naidoo, M. W. Siti Journal of Energy Storage 46 (2022), 103843 , 2022 2022 Citations: 58
Distributed renewable energy technologies H Tazvinga, M Thopil, PB Numbi, T Adefarati Handbook of distributed generation: electric power technologies, economics … , 2017 2017 Citations: 46
Application of renewable energy resources in a microgrid power system T Adefarati, RC Bansal The Journal of Engineering 2019 (18), 5308-5313 , 2019 2019 Citations: 36
Non-renewable distributed generation technologies: a review T Adefarati, NB Papy, M Thopil, H Tazvinga Handbook of Distributed Generation: Electric Power Technologies, Economics … , 2017 2017 Citations: 36
Design and analysis of a photovoltaic‐battery‐methanol‐diesel power system AN Temitope Adefarati, Gbenga Daniel Obikoya, Adeniyi Kehinde Onaolapo International Transactions on Electrical Energy Systems, 1-24 , 2021 2021 Citations: 32
Design and analysis of a photovoltaic-batrery-methanol-diesel power system AN T. Adefarati, G. D. Obikoya, A. K. Onaolapo International Transaction on Electrical Energy System, 1 -24 , 2021 2021 Citations: 32
Design and analysis of a photovoltaic-battery-methanol-diesel power system AN T. Adefarati, G. D. Obikoya, A. K. Onaolapo International Transaction on Electrical Engineering System, 1-24 , 2021 2021 Citations: 32
Design and feasibility analysis of grid-connected hybrid renewable energy resources: Perspective of commercial buildings KAO T. Adefarati, G. D. Obikoya Energy Systems , 2023 2023 Citations: 29
Evaluation of wind resources potential and economic analysis of wind power generation in South Africa T Adefarati, GD Obikoya International Journal of Engineering Research in Africa 44, 150-181 , 2019 2019 Citations: 27