Oladimeji Ibrahim

@unilorin.edu.ng

Assistant Professor, Faculty of Engineering and Technology
Others
University of Ilorin



                       

https://researchid.co/olaibrahim

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Energy Engineering and Power Technology, Control and Systems Engineering

38

Scopus Publications

1177

Scholar Citations

15

Scholar h-index

25

Scholar i10-index

Scopus Publications

  • A combined and substituted use of battery electric vehicles and hydrogen storage in residential nanogrid configurations
    Ahmed Tijjani Dahiru, Chee Wei Tan, Kwan Yiew Lau, Chuen Ling Toh, Norzanah Rosmin, and Oladimeji Ibrahim
    Elsevier BV

  • Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation
    Oladimeji Ibrahim, Mohd Junaidi Abdul Aziz, Razman Ayop, Ahmed Tijjani Dahiru, Wen Yao Low, Mohd Herwan Sulaiman, and Temitope Ibrahim Amosa
    Elsevier BV

  • Optimal control of DC motor using leader-based Harris Hawks optimization algorithm
    Shehu Lukman Ayinla, Temitope Ibrahim Amosa, Oladimeji Ibrahim, Md. Siddikur Rahman, Abdulrahman Abdullah Bahashwan, Mohammad Golam Mostafa, and Abdulrahman Olalekan Yusuf
    Elsevier BV

  • Detection and Confirmation of Electricity Thefts in Advanced Metering Infrastructure by Long Short-Term Memory and Fuzzy Inference System Models
    A. O. Otuoze, M. W. Mustafa, U. Sultana, E. A. Abiodun, B. Jimada-Ojuolape, O. Ibrahim, I. O. Avazi-Omeiza, and A. I. Abdullateef
    African Journals Online (AJOL)
    The successful implementation of Smart Grids heavily relies on energy efficiency, particularly through the Advanced Metering Infrastructure (AMI) and Smart Electricity Meters (SEM). However, cyber-attacks pose a threat to SEM, with electricity theft being a primary motivation. Despite the valuable data provided by SEM for analytical purposes, existing methods to identify theft involve cumbersome and costly on-site inspections. This research proposes an electricity theft detection model using the Long Short-Term Memory (LSTM) network. The model employs a collective anomaly approach, defining prediction errors through a threshold and forecast horizon. Suspicious consumption profiles are analysed, and a fuzzy inference system (FIS) implemented in MATLAB 2021b is used to model security risks based on these profiles. The study utilizes energy consumption data from four diverse consumer profiles (consumers 1, 2, 3, and 4) to develop consumer-specific LSTM models for detection and an FIS model for confirmation. Tampered consumer data is identified and confirmed based on selected AMI parameters. While all consumers exhibit suspicious profiles at times, only consumers 2 and 3 are confirmed as engaging in electricity theft. This research provides a robust approach to detecting and verifying fraudulent consumption profiles within the context of AMI, offering a more reliable dimension to theft detection and confirmation.

  • Resilience Analysis of Distribution Networks to Extreme Weather Events Using Monte Carlo Simulation
    Sanusi Mufutau Adewolu, Md Pauzi Abdullah, and Oladimeji Ibrahim
    IEEE
    This paper analyzes the resilience of distribution networks against extreme weather events using Monte Carlo Simulation. The IEEE 33-bus distribution system is used as a test system to assess the impacts of hurricane-induced stresses. Key performance metrics such as voltage stability, failure probability of network components (poles and lines), and efficiency of restoration of interrupted loads are evaluated to identify system vulnerabilities. The study further examines the effectiveness of prioritized load restoration strategies that identify and prioritize critical loads for faster restoration during an extreme event. Simulation results reveal significant voltage drops and high failure probabilities as wind speeds increase, highlighting the urgent need for effective restoration and reinforcement strategies. These insights can guide infrastructure upgrade priorities and enhance resilience in distribution networks exposed to extreme weather conditions.

  • Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid
    Ahmed Tijjani Dahiru, Chee Wei Tan, Kwan Yiew Lau, Chuen Ling Toh, Razman Ayop, and Oladimeji Ibrahim
    IEEE
    Renewable energy resource dynamics significantly contribute to renewable energy system complexities in addition to reliability issues. Energy storage systems such as batteries are used for supply reliability in renewable energy system designs such as residential nanogrids. Factors considered in battery energy storage options in renewable energy systems include the low cost of acquisition, large-scale commercial deployment and high energy storage densities. Despite the competitive advantages of the battery systems, other energy storage facilities have advantages such as electric vehicles with significant time spent parking and hydrogen fuel cells with considerably long periods of retaining energy storage. This paper considered other technoeconomic advantages in defining a hybrid energy storage management for battery, electric vehicles and hydrogen fuel cells configured in a combined and substituted storage of a residential nanogrid. Constraints of uncertain renewable energy generation and customer demands were used for the nanogrid's optimal capacity with each of the storage configurations analyzed based on charging and discharging conditions. The objectives were to strategize energy tradeoffs between the nanogrid and the main grid for energy cost reduction and improved energy utilization. The results indicate the ranges of hourly-average available energy for tradeoffs in the main grid-interactive residential nanogrid such as 24 -115 kW in a battery system, 19 - 75 kW in an electric vehicle and 5 - 45 kW in hydrogen fuel cell from a substituted configuration and 110 - 250 kW from a combined storage configuration. The uncertain renewable energy generation and customer demands were utilized in suggesting a dynamic energy pricing for future study considerations.

  • Combined and Substituted Use of Battery Electric Vehicles and Hydrogen in Nanogrid Configurations
    Ahmed Tijjani Dahiru, Chee Wei Tan, K. Y. Lau, Norzanah Rosmin, Oladimeji Ibrahim and Chuen Ling Toh

    Renewable energy systems consider energy storage against uncertainties of weather resources and customer demands. Battery energy storage dominates recent renewable energy-based system developments. Factors for the battery dominance include the extended life-cycle, high energy density and low per unit kWh cost. However, hydrogen storage had a significant drop in per kWh cost and longer periods of energy storage. Electric vehicles have a high percentage of lifespan spent parking implying low energy storage usage. This paper investigates the technoeconomics of a residential nanogrid's energy storage system configured using battery, electric vehicles and hydrogen fuel cells. The Photovoltaic/Wind/Storage nanogrid configurations were optimized using nested integer linear programming with energy storage planned in combined and substituted modes for cost/capacity benefits. The nanogrid's energy costs in substituted storage were 44%, 22% and 39% in battery, electric vehicles and hydrogen storage lower than the combined storage's 0.0018 $/kWh. The substituted storages are 30%, 24% and 44% lower than the combined storage's $111,330 annualized total cost. However, hydrogen storage's 65 kW capacity is larger compared to electric vehicle's 55 kW and battery's 50 kW. Electric vehicles are envisaged to have better economic advantages under optimal load management.

  • Multi-camera multi-object tracking: A review of current trends and future advances
    Temitope Ibrahim Amosa, Patrick Sebastian, Lila Iznita Izhar, Oladimeji Ibrahim, Lukman Shehu Ayinla, Abdulrahman Abdullah Bahashwan, Abubakar Bala, and Yau Alhaji Samaila
    Elsevier BV

  • Development of fuzzy logic-based demand-side energy management system for hybrid energy sources
    Oladimeji Ibrahim, Mutiu Shola Bakare, Temitope Ibrahim Amosa, Abdulrahman Okino Otuoze, Waheed Olaide Owonikoko, Esraa Mousa Ali, Lambe Mutalub Adesina, and Olalekan Ogunbiyi
    Elsevier BV

  • Clinical Errors from Acronym Use in Electronic Health Record: A Review of NLP-based Disambiguation Techniques
    Temitope Ibrahim Amosa, Lila Iznita Bt Izhar, Patrick Sebastian, Idris B. Ismail, Oladimeji Ibrahim, and Shehu Lukman Ayinla
    Institute of Electrical and Electronics Engineers (IEEE)
    The adoption of Electronic Health Record (EHR) and other e-health infrastructures over the years has been characterized by an increase in medical errors. This is primarily a result of the widespread usage of medical acronyms and abbreviations with multiple possible senses (i.e., ambiguous acronyms). The advent of Artificial Intelligence (AI) technology, specifically Natural Language Processing (NLP), has presented a promising avenue for tackling the intricate issue of automatic sense resolution of acronyms. Notably, the application of Machine Learning (ML) techniques has proven to be highly effective in the development of systems aimed at this objective, garnering significant attention and interest within the research and industry domains in recent years. The significance of automating the resolution of medical acronym senses cannot be overstated, especially in the context of modern healthcare delivery with the widespread use of EHR. However, it is disheartening to note that comprehensive studies examining the global adoption of EHR, assessing the impact of acronym usage on medical errors within EHR systems, and reporting on the latest trends and advancements in ML-based NLP solutions for disambiguating medical acronyms remain severely limited. In this current study, we present a detailed overview on medical error, its origins, unintended effects, and EHR-related errors as a subclass of clinical error. Furthermore, this paper investigates the adoption of EHR systems in developed and developing nations, as well as the review concludes with an examination of various artificial intelligence techniques, particularly machine learning algorithms for medical acronym and abbreviation disambiguation in EHRs.

  • Assessment of the influence of wind energy incorporated capacity benefit margin in ATC computation
    Olatunji Obalowu Mohammed, Mohd Wazir Mustafa, Sani Salisu, Ahsanullah Memon, Saddam Hussain, Abdulrahaman Okino Otuoze, and Oladimeji Ibrahim
    Institute of Advanced Engineering and Science
    Available transfer capability (ATC) is an important metric used to measure the techno-economic viability of the transmission networks. Several methods have been presented in literature for ATC assessment, however, only some few articles incorporate CBM in ATC calculation and those few papers only considered conventional power generation sources in CBM evaluation. CBM is a function of the reliability of generating units. This paper presents the inter-area CBM calculation in the presence of wind energy source using graph theory technique and the results are incorporated in ATC computation using repeated power flow. CBM is incorporated in ATC computation as non-recallable and recallable power transfers. The results with and without CBM incorporation, in the presence of wind power system, are compared. The contribution of the paper is to study the influence of wind power (WP) integrated CBM on ATC evaluation. The results showed that the incorporation of CBM, in the presence of renewable energy, has a significant influence on ATC, without which ATC would be inaccurately estimated. Simulations using IEEE 24-Bus RTS is used to implement the proposed approach. This approach can be employed by transmission operators to assess the technoeconomic viability of the power network for possible power transactions.

  • Investigation of Full-Order State Output Feedback Controller on DC-DC Converter Rapid Load Current Change
    Nor Zaihar Yahaya, Oladimeji Ibrahim, Temitope Ibrahim Amosa, Nordin Saad, and Sheikh Tanzim Meraj
    IEEE
    A DC-DC converter produces constant output voltage in the face of varying supply voltage, load current change, and circuit element variation. To achieve tight output voltage regulation in the presence of various disturbances, DC-DC converters incorporate a control strategy to regulate power flow and power level. In recent times, several control strategies have been investigated for regulating the action of DC-DC converters, ranging from the conventional frequency domain to time domain design approaches. However, not enough attention is given to the performance of the state feedback controller, especially during rapid load current change in dc-dc converter. In this paper, a full order state-feedback controller was designed, and the performance was investigated for rapid load current change. A state feedback controller was first designed in this work, and then the integrator is introduced to eliminate the inherent steady-state error for improved system robustness to disturbance rejection. The state feedback controller performance was evaluated by subjecting the converter to various step load current changes in which the controller rejected the disturbance faster when compared with the PID controller used as a base controller. The fast transient response will allow the DC-DC converter to accept wider current change from rapidly changing loads and achieve improved output voltage regulation.

  • Investigating the Impact of Illumination and Viewpoint Variations on Transformer-based Person Re-Identification
    Temitope Ibrahim Amosa, Patrick Sebastian, Lila Iznita Izhar, and Oladimeji Ibrahim
    IEEE
    Variations in visual factors such as illumination, viewpoint, resolution, background, pose, and so on are commonly regarded as significant issues in object re-identification (re-ID). Despite widespread recognition of their importance in determining the performance of an object re-ID model, not enough attention is paid to how these factors affect re-ID systems. One of the major impediments to investigating how these factors affect the performance of re-ID models is the lack of datasets with unbiased distribution of these difficult visual conditions. To make up for the lack of large-scale datasets with a balanced distribution of such photometric and geometric transforms, recent studies suggest using game engines to generate synthetic datasets. This study proposes a quantitative investigation of the impact of two critical visual factors: illumination and Tranfomer-based re-ID models on synthetic dataset.

  • A Comparative Study on Deep Feature Extraction Approaches for Visual Tracking of Industrial Robots
    Temitope Ibrahim Amosa, Patrick Sebastian, Lila Iznita Bt Izhar, and Oladimeji Ibrahim
    IEEE
    Owing to several breakthroughs in deep-learning research, visual object trackers based on deep learning algorithms have been the de facto method in the tracking community. However, the performance of this category of trackers is largely influenced by the richness and quality of the target feature representation. Thus, to extract features with high discriminative power, special attention must be paid to the feature extraction component of the tracker. Despite the significance of feature extraction paradigm in deep learning-based trackers, limited studies have been dedicated to comparatively examining the feature learning and representation capabilities of various existing deep feature extraction approaches in visual tracking. In this paper, we present a comparative study on two different deep feature extraction methods in visual tracking of industrial robots in video. This work examines and visualizes the feature representation capability of two commonly employed feature extraction methods in deep learning-based tracking; namely, Convolutional Neural Network (CNN)-based and Transformer-based feature extraction methods. To demonstrate the effectiveness of the deep learning-based tracking paradigm, this study adopts a Siamese-based tracker that is trained end-to-end offline with ILSVRC15 datasets as well as a Transformer-based tracking architecture that is also pre-trained on the ImageNet dataset. This study also contributes a dataset consisting of images of industrial robots, which was employed for evaluating the two adopted trackers. From this study, we could conclude that the feature learning and representation of the transformer-based feature extraction pipeline largely improved the overall tracking performance of the tracker.

  • Technical Losses Computation of a Typical Nigerian Radial Distribution Feeder using the Forward/Backward Sweep Approach
    Mudathir Funsho Akorede, Oladimeji Ibrahim, Abdulrahaman Okino Otuoze, Akinola Sunday Oladeji, Ahmad Opeyemi Zubair, and Muhydeen Oluwafemi Tijani
    IEEE
    Aggregate Technical, Commercial and Collection (ATC&C) losses in power networks occur due to technical and commercial reasons. These losses not only reduce the system efficiency, but also increase the operational costs of the power distribution companies. To effectively minimize the ATC&C losses, power utilities must first be able to quantify the technical losses (TL) arising from the current flowing through the network elements. This study employs the forward/backward sweep power flow approach to calculate the TL. In the work, a real-life 11 kV radial distribution feeder is used as a case study to evaluate the performance of the algorithm. Two loading scenarios are considered in the study and results of the algorithm, developed in MATLAB, are presented. Numerical results obtained on the case study feeder reveal that the TL is a function of the loading of the network. The feeder when loaded to 65% of capacity recorded a total power losses of 2.4096 MW, which is equivalent to 18.5% of the injected power. On the other hand, the feeder total losses increase to 7.1112 MW, equivalent to 40% of the feeder capacity, when loaded to 90% of its capacity. The two cases result in several bus voltages falling below the lower permissible limit of 0.94 p.u., which is a clear indication that the feeder under study requires a compensation.

  • Review on non-isolated DC-DC converters and their control techniques for renewable energy applications
    Farhan Mumtaz, Nor Zaihar Yahaya, Sheikh Tanzim Meraj, Balbir Singh, Ramani Kannan, and Oladimeji Ibrahim
    Elsevier BV

  • Field loss calculation of a wind-powered axial flux alternator by analytical equations
    Abdulrahaman Okino Otuoze, Olatunji Obalowu Mohammed, Oladimeji Ibrahim, Sani Salisu, Abioye Abiodun Emmanuel, Ayinde Mohammed Usman, and Abdulhakeem Mohd Dobi
    Wiley
    Various techniques have been investigated and proposed for core loss minimization in electrical machines. Nevertheless, many of such methods are mostly complicated and not suitable for consideration at a preliminary design stage. In this work, a simplified procedure which uses an analytical approach to minimizing the field's losses of an Axial Flux Permanent Magnet Alternator (AFPMA), is presented. First, the output equation of an AFPMA is referred, and then the minimization of the losses is investigated by analytical differential equations. The result of the derived‐specific magnetic loading is investigated using three different core materials, namely 35RM300, 50JN350, and 65JN800, and is found to reduce with increased frequencies. The 35RM300 core material gives the maximum specific magnetic loading and minimum power loss at investigated frequencies of 50 to 500 Hz. Although the 35RM300 core material gives the best performance, the optimal values are only determined as suitable by the manufacturer's design criteria. This study is a key indicator for a simple and efficient core material selection in the design of a Wind‐Powered AFPMA without the need for complicated analyses at the preliminary design stage.

  • Power conversion using analytical model of cockcroft‐walton voltage multiplier rectenna
    Esraa Mousa Ali, Nor Zaihar Yahaya, Omar Aqeel Saraereh, Anwar Hamdan Al Assaf, Bilal Hasan Alqasem, Shahid Iqbal, Oladimeji Ibrahim, and Amit V Patel
    MDPI AG
    A voltage multiplier rectenna is a combination of a voltage multiplier rectifier and an antenna used for the conversion of AC to DC. It is an essential part of the system of RF energy harvesting. Conventional rectennas are characterized by low conversion efficiency. This study presents an analytical novel mode designed for RF energy harvesting systems to study the voltage and current output of rectifier stages for efficiency optimization. The design contains a voltage multiplier rectification circuit with seven stages. The Schottky diode HSMS 285-C was selected for the circuit modeling voltage multiplier circuit. Advanced Design System (ADS) simulation was used to validate the equations of the theoretical model solved with MATLAB code. The fabricated system was tested for an input power range of 10 μW to 100 mW; the maximum output power is 0.2577 mW with maximum efficiency of 29.85%.

  • Modelling and Fault Protection Analysis of a DC Microgrid using Voltage Source Converter (VSC)
    Mohammed Ahmed Yagoub, Zheng Tao, and O.M.S.O. Ibrahim
    IEEE
    In recent years a direct current (DC) micro-grid has been preferred in power systems design, generation, and distribution of DC systems. DC microgrid protection and operation one of the common problems in this type of DC system and there are several studies and scientific papers that have been completed to study this problem and solve it and research is continued to get a suitable solution to this challenge. This paper investigates DC micro-grid protection analysis with different types of faults and the effects on power electronics devices like voltage source converter (VSC), DC-DC converter, and impact in power loads.

  • MODELING AND FAULT ANALYSIS FOR DC MICROGRID INTEGRATION OF PV, BATTERY/WIND ENERGY CONVERSION SYSTEM
    M.A. Yagoub, T. Zheng, and O.M.S.O. Ibrahim
    Institution of Engineering and Technology
    Fault protection for DC Microgrid one of the challenges in the power system. All previous studies focus on protection due to the difficulty of linking DC and AC sources without designing a suitable protection system to operate this network in one network, and this network is called Microgrid (AC or DC). In this paper, a new DC Microgrid is designed. This Microgrid contains wind energy, Photovoltaic System (PV) with batteries, and the main grid (AC). Different types of fault analysis have been disused in this paper, like overcurrent protection, distance protection, and differential protection.

  • Performance evaluation of different membership function in fuzzy logic based short-term load forecasting
    Oladimeji Ibrahim, Waheed Olaide Owonikoko, Abubakar Abdulkarim, Abdulrahman Okino Otuoze, Mubarak Akorede Afolayan, Ibrahim Sani Madugu, Mutiu Shola Bakare, and Kayode Elijah Adedayo
    Universiti Putra Malaysia
    A mismatch between utility-scale electricity generation and demand often results in resources and energy wastage that needed to be minimized. Therefore, the utility company needs to be able to accurately forecast load demand as a guide for the planned generation. Short-term load forecast assists the utility company in projecting the future energy demand. The predicted load demand is used to plan ahead for the power to be generated, transmitted, and distributed and which is crucial to power system reliability and economics. Recently, various methods from statistical, artificial intelligence, and hybrid methods have been widely used for load forecasts with each having their merits and drawbacks. This paper investigates the application of the fuzzy logic technique for short-term load forecast of a day ahead load. The developed fuzzy logic model used time, temperature, and historical load data to forecast 24 hours load demand. The fuzzy models were based on both the trapezoidal and triangular membership function (MF) to investigate their accuracy and effectiveness for the load forecast. The obtained low Mean Absolute Percentage Error (MAPE), Mean Forecast Error (MFE), and Mean Absolute Deviation (MAD) values from the forecasted load results showed that both models are suitable for short-term load forecasting, however the trapezoidal MF showed better performance than the triangular MF.

  • Multi-Input Multi-Output DC-DC Converter Network for Hybrid Renewable Energy Applications
    Farhan Mumtaz, Nor Zaihar Yahaya, Sheikh Tanzim Meraj, Ramani Kannan, Balbir Singh Mahinder Singh, and Oladimeji Ibrahim
    IEEE
    In order to fulfill the increasing demands of energy requirements using the eco-friendly methods of energy generation instead of conventional hazardous methods that have caused severe damages globally. Hybrid renewable energy sources (HRES) are utilized for energy generation for developing smart cities and to make the power systems efficient. HRES systems are designed considering the advance requirements of energy consumption. As the technology is evolving, scientists have developed power saving appliances that operates on low level DC voltage. Since different appliances have different DC voltage ratings, to operate them efficiently multi-level DC voltages are often required. Conventional power systems offer single input and single output (SISO) configuration that cannot fulfill the power requirements of domestic and commercially utilized appliances. However, multi-input multi-output (MIMO) configuration is suitable to fulfil the multi-level voltage requirements. DC-DC converters are responsible to deliver the stable output power in HRES systems. This paper presents implementation of MIMO network using buck-boost converters. The proposed system is simulated in MATLAB Simulink with all possible scenarios. To control the operation of a buck-boost converter, individual control technique is integrated to sustain the desired output value during intermittent conditions. For that purpose, proportional integral (PI) is utilized as a control technique, that regulates the operation of a buck-boost converter with different input and output settings.

  • On-load measurement method for the reliability of distribution transformers
    Lambe Mutalub Adesina, Ademola Abdulkareem, Olalekan Ogunbiyi, and Oladimeji Ibrahim
    Elsevier BV

  • Design of Wheatstone bridge based thermistor signal conditioning circuit for temperature measurement
    Ibrahim Oladimeji, , Hassan Miya Sabo, Abdulkarim Abubakar, Akorede F. Mudathir, Amuda A.Y. Sulyman, , , , and
    International Hellenic University
    Thermistors are widely used in temperature measurement due to their fast response, high accuracy, and low cost. However, due to the nonlinear resistance-temperature relationship, there is a need for linearisation in order to design a signal conditioning circuit for accurate temperature measurement. Thus, this paper presents the design of a thermistor signal conditioning circuit based on Wheatstone Bridge. An experiment was conducted on an NTC thermistor to acquire the resistance response to temperature change between 25 oC to 65o C which was in turn used for the model linearization. The obtained parameters from the linearized model are used to design the Wheatstone bridge signal conditioning circuit. The designed measurement system performance evaluation demonstrated a high degree of accuracy with only 1.1 % non-linearity within the specified temperature range.

  • Power Transformer Inrush Current Identification Using Relative Wavelet Energy
    O. M. S. O Ibrahim, T. Zheng, and X. Zheng
    IEEE
    the magnetizing inrush current of the power transformer is a significant challenge to be successfully identified by the differential protection relay. In this paper, an approach based on wavelet coefficients energy is presented to successfully identify the inrush currents. The wavelet transform is applied to decompose the differential currents into the details coefficients in several levels of frequency bands; it is observed by inspecting different inrush and internal faults cases, a fault condition is the most probable if a remarkable change in detail coefficients is noticed. This fact is utilized in order to establish a diagnosis criterion, where the relative wavelet energy is defined as a characterizing quantity. The discrimination criteria is based on the energy variation amount, which is monitored comparing the values of the relative wavelet energy in two successive time intervals, where an inrush is detected generally when the difference is not a remarkable quantity. The reliability of the proposed approach is checked through simulation of different transient cases using MATLAB.

RECENT SCHOLAR PUBLICATIONS

  • A combined and substituted use of battery electric vehicles and hydrogen storage in residential nanogrid configurations
    AT Dahiru, CW Tan, KY Lau, CL Toh, N Rosmin, O Ibrahim
    Journal of Energy Storage 114, 115786 2025

  • Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation
    O Ibrahim, MJA Aziz, R Ayop, AT Dahiru, WY Low, MH Sulaiman, ...
    Results in Engineering 24, 102816 2024

  • Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid
    AT Dahiru, CW Tan, KY Lau, CL Toh, R Ayop, O Ibrahim
    2024 IEEE International Conference on Power and Energy (PECon), 110-115 2024

  • Combined and Substituted Use of Battery Electric Vehicles and Hydrogen in Nanogrid Configurations
    AT Dahiru, CW Tan, KY Lau, N Rosmin, O Ibrahim, CL Toh
    2024 IEEE International Conference on Advanced Power Engineering and Energy 2024

  • Detection and confirmation of electricity thefts in Advanced Metering Infrastructure by Long Short-Term Memory and fuzzy inference system models
    AO Otuoze, MW Mustafa, U Sultana, EA Abiodun, B Jimada-Ojuolape, ...
    Nigerian Journal of Technological Development 21 (1), 112-130 2024

  • Optimal control of DC motor using leader-based Harris Hawks optimization algorithm
    SL Ayinla, TI Amosa, O Ibrahim, MS Rahman, AA Bahashwan, ...
    Franklin open 6, 100058 2024

  • Multi-camera multi-object tracking: A review of current trends and future advances
    TI Amosa, P Sebastian, LI Izhar, O Ibrahim, LS Ayinla, AA Bahashwan, ...
    Neurocomputing 552, 126558 2023

  • Clinical errors from acronym use in electronic health record: A review of NLP-based disambiguation techniques
    TI Amosa, LIB Izhar, P Sebastian, IB Ismail, O Ibrahim, SL Ayinla
    IEEE Access 11, 59297-59316 2023

  • Development of fuzzy logic-based demand-side energy management system for hybrid energy sources
    O Ibrahim, MS Bakare, TI Amosa, AO Otuoze, WO Owonikoko, EM Ali, ...
    Energy Conversion and Management: X 18, 100354 2023

  • Investigating the Impact of Illumination and Viewpoint Variations on Transformer-based Person Re-Identification
    TI Amosa, P Sebastian, LI Izhar, O Ibrahim
    2022 International Conference on Future Trends in Smart Communities (ICFTSC 2022

  • Investigation of Full-Order State Output Feedback Controller on DC-DC Converter Rapid Load Current Change
    NZ Yahaya, O Ibrahim, TI Amosa, N Saad, ST Meraj
    2022 International Conference on Future Trends in Smart Communities (ICFTSC 2022

  • A comparative study on deep feature extraction approaches for visual tracking of industrial robots
    TI Amosa, P Sebastian, LIB Izhar, O Ibrahim
    2022 IEEE Industrial Electronics and Applications Conference (IEACon), 122-127 2022

  • Assessment of the influence of wind energy incorporated capacity benefit margin in ATC computation
    OO Mohammed, MW Mustafa, S Salisu, A Memon, S Hussain, AO Otuoze, ...
    International Journal of Applied 11 (2), 145-155 2022

  • Technical Losses Computation of a Typical Nigerian Radial Distribution Feeder using the Forward/Backward Sweep Approach
    MF Akorede, O Ibrahim, AO Otuoze, AS Oladeji, AO Zubair, MO Tijani
    2022 IEEE Nigeria 4th International Conference on Disruptive Technologies 2022

  • A rule-based model for electricity theft prevention in advanced metering infrastructure
    AO Otuoze, MW Mustafa, AE Abioye, U Sultana, AM Usman, O Ibrahim, ...
    Journal of Electrical Systems and Information Technology 9 (1), 2 2022

  • Review on non-isolated DC-DC converters and their control techniques for renewable energy applications
    F Mumtaz, NZ Yahaya, ST Meraj, B Singh, R Kannan, O Ibrahim
    Ain Shams Engineering Journal 12 (4), 3747-3763 2021

  • Design and construction of an automatic home and office power control system
    AM Usman, O Ibrahim, YS Muhammed, AO Otuoze, SO Zakariyya, ...
    FUOYE Journal of Engineering and Technology 6 (2), 25-29 2021

  • Field loss calculation of a wind‐powered axial flux alternator by analytical equations
    AO Otuoze, OO Mohammed, O Ibrahim, S Salisu, AA Emmanuel, ...
    Engineering Reports 3 (9), e12391 2021

  • Power conversion using analytical model of Cockcroft–Walton voltage multiplier rectenna
    EM Ali, NZ Yahaya, OA Saraereh, AHA Assaf, BH Alqasem, S Iqbal, ...
    Electronics 10 (8), 881 2021

  • Performance Evaluation of Different Membership Function in Fuzzy Logic Based Short-Term Load Forecasting.
    O Ibrahim, WO Owonikoko, A Abdulkarim, AO Otuoze, MA Afolayan, ...
    Pertanika Journal of Science & Technology 29 (2) 2021

MOST CITED SCHOLAR PUBLICATIONS

  • Review on non-isolated DC-DC converters and their control techniques for renewable energy applications
    F Mumtaz, NZ Yahaya, ST Meraj, B Singh, R Kannan, O Ibrahim
    Ain Shams Engineering Journal 12 (4), 3747-3763 2021
    Citations: 271

  • Current status and outlook of renewable energy development in Nigeria
    MF Akorede, O Ibrahim, SA Amuda, AO Otuoze, BJ Olufeagba
    Nigerian Journal of Technology 36 (1), 196-212 2017
    Citations: 149

  • Development of fuzzy logic-based demand-side energy management system for hybrid energy sources
    O Ibrahim, MS Bakare, TI Amosa, AO Otuoze, WO Owonikoko, EM Ali, ...
    Energy Conversion and Management: X 18, 100354 2023
    Citations: 79

  • Matlab/Simulink model of solar PV array with perturb and observe MPPT for maximising PV array efficiency
    O Ibrahim, NZ Yahaya, N Saad, MW Umar
    2015 IEEE conference on energy conversion (CENCON), 254-258 2015
    Citations: 77

  • Multi-camera multi-object tracking: A review of current trends and future advances
    TI Amosa, P Sebastian, LI Izhar, O Ibrahim, LS Ayinla, AA Bahashwan, ...
    Neurocomputing 552, 126558 2023
    Citations: 70

  • Comparative studies of PID controller tuning methods on a DC-DC boost converter
    O Ibrahim, NZ Yahaya, N Saad
    2016 6th International Conference on Intelligent and Advanced Systems (ICIAS 2016
    Citations: 55

  • Virtual synchronous generator: an overview
    OO Mohammed, AO Otuoze, S Salisu, O Ibrahim, NA Rufa’i
    Nigerian Journal of Technology 38 (1), 153-164 2019
    Citations: 50

  • Development of power electronic distribution transformer based on adaptive PI controller
    KY Ahmed, NZB Yahaya, VS Asirvadam, N Saad, R Kannan, O Ibrahim
    IEEe Access 6, 44970-44980 2018
    Citations: 49

  • Design and simulation of phase-shifted full bridge converter for hybrid energy systems
    O Ibrahim, NZ Yahaya, N Saad, KY Ahmed
    2016 6th international conference on intelligent and advanced systems (ICIAS 2016
    Citations: 39

  • Development of observer state output feedback for phase-shifted full bridge DC–DC converter control
    O Ibrahim, NZ Yahaya, N Saad, KY Ahmed
    Ieee Access 5, 18143-18154 2017
    Citations: 27

  • PID controller response to set-point change in DC-DC converter control
    O Ibrahim, NZB Yahaya, N Saad
    International journal of power electronics and drive systems 7 (2), 294 2016
    Citations: 27

  • Review of Optimization Techniques for Sizing Renewable Energy Systems.
    C Mekontso, A Abdulkarim, IS Madugu, O Ibrahim, YA Adediran
    Computer Engineering & Applications Journal 8 (1) 2019
    Citations: 24

  • State-space modelling and digital controller design for DC-DC converter
    O Ibrahim, NZ Yahaya, N Saad
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 14 (2), 497-506 2016
    Citations: 19

  • Comparison of fuzzy logic control and PI control for a three-level rectifier based on voltage oriented control
    KY Ahmed, NZ Yahaya, VS Asirvadam, K Ramani, O Ibrahim
    2016 IEEE International Conference on Power and Energy (PECon), 127-132 2016
    Citations: 18

  • Power conversion using analytical model of Cockcroft–Walton voltage multiplier rectenna
    EM Ali, NZ Yahaya, OA Saraereh, AHA Assaf, BH Alqasem, S Iqbal, ...
    Electronics 10 (8), 881 2021
    Citations: 17

  • Design of Wheatstone Bridge Based Thermistor Signal Conditioning Circuit for Temperature Measurement.
    O Ibrahim, SM Hassan, A Abdulkarim, MF Akorede, SAY Amuda
    Journal of Engineering Science & Technology Review 12 (1) 2019
    Citations: 15

  • Design and construction of an Arduino-based solar power parameter-measuring system with data logger
    I Oladimeji, YB Adediji, JB Akintola, MA Afolayan, O Ogunbiyi, SM Ibrahim, ...
    Arid Zone Journal Of Engineering, Technology And Environment 16 (2), 255-268 2020
    Citations: 14

  • State of the art in research on optimum design, reliability and control of renewable energy microgrids
    A Abdulkarim, N Faruk, AO Oloyode, LA Olawoyin, SI Popoola, ...
    ELEKTRIKA-Journal of Electrical Engineering 17 (3), 23-35 2018
    Citations: 14

  • Phase-shifted full-bridge zero voltage switching DC-DC converter design with MATLAB/Simulink implementation
    O Ibrahim, NZ Yahaya, N Saad
    International Journal of Electrical and Computer Engineering 8 (3), 1488 2018
    Citations: 13

  • Performance Evaluation of Three PID Controller Tuning Algorithm on a Process Plant
    O Ibrahim, SAY Amuda, OO Mohammed, GA Kareem
    International Journal of Electrical and Computer Engineering 5 (5) 2015
    Citations: 13