Wind power generation prediction utilizing Kolmogorov-Arnold networks Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Oladimeji Ibrahim Engineering Research Express, 2025 The increasing integration of wind energy into power grids necessitates accurate and reliable wind power generation forecasts. Precise predictions are crucial for grid stability, efficient energy management, and optimal economic dispatch. However, the inherent variability and intermittency of wind resources pose significant challenges to traditional forecasting methods. Recently, Kolmogorov-Arnold Networks (KAN) have gained attention in the machine learning community for their ability to model complex, non-linear systems. This study explores the use of KAN for wind power generation prediction, utilizing its distinctive architecture to model complex patterns within wind power data. The performance of KAN is compared against established machine learning approaches, namely Neural Networks (NN) and Long Short-Term Memory (LSTM) networks, using a comprehensive dataset of weather and turbine parameters collected over two years. The results demonstrate that KAN exhibits superior performance in terms of prediction accuracy and consistency. Specifically, KAN achieved the best RMSE of 87.5, MAE of 61.4, and an R2 value of 0.9723, indicating high accuracy and reliability. KAN’s narrower distribution of residuals centered closer to zero compared to LSTM indicates more reliable predictions. While NN displayed the sharpest peak in error distribution, suggesting high consistency for certain ranges, KAN provided a better balance between accuracy and adaptability across various prediction scenarios. These findings suggest that KAN offers a promising approach for wind power forecasting, potentially improving grid integration strategies and operational efficiency in wind energy systems.
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, et al. Nigerian Journal of Technological Development, 2024 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, Oladimeji Ibrahim 2024 IEEE 22nd Student Conference on Research and Development Scored 2024, 2024 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.
Intelligent battery charge-discharge control in off-grid microgrids using hybrid GEP-fuzzy techniques MS Bakare, A Abdulkarim, V Guntreddi, IS Madugu, O Ibrahim, ... Next Energy 11, 100584 , 2026 2026 Citations: 1
Wind power generation prediction utilizing Kolmogorov-Arnold networks MH Sulaiman, Z Mustaffa, MM Saari, O Ibrahim Engineering Research Express 7 (2), 025335 , 2025 2025 Citations: 4
Comparative evaluation of different fuzzy tuning rules on energy management systems cost savings O Ibrahim, MS Bakare, WO Owonikoko, RA Alao, TI Amosa, MO Tijani Results in Engineering 26, 105107 , 2025 2025 Citations: 11
Integrated DDPG-PSO Energy Management Systems for Enhanced Battery Cycling and Efficient Grid Utilization O Ibrahim, MJA Aziz, R Ayop, WY Low, NZ Yahaya, AT Dahiru, TI Amosa, ... Energy Nexus 18, 100448 , 2025 2025 Citations: 5
An Experimental Investigation of Capacity Performance Evaluation in New and Second Life Lithium-Ion Batteries M Sahhouk, MJ Aziz, MI Ardani, O Ibrahim, A Alanssari ELEKTRIKA-Journal of Electrical Engineering 24 (1), 29-34 , 2025 2025
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 2025 Citations: 4
Energy Nexus O Ibrahim, MJA Aziz, R Ayop, WY Low, NZ Yahaya, AT Dahiru, TI Amosa, ... Energy 18 (10044), 8 , 2025 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 2024 Citations: 44
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 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 2024 Citations: 1
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 2024 Citations: 8
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 2024 Citations: 28
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 2023 Citations: 193
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 2023 Citations: 35
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 2023 Citations: 133
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 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 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 2022 Citations: 4
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 2022 Citations: 4
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 2022 Citations: 1
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 2021 Citations: 401
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 2023 Citations: 193
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 2017 Citations: 178
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 2023 Citations: 133
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 2015 Citations: 86
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 2019 Citations: 62
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 2016 Citations: 60
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 2018 Citations: 50
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 2024 Citations: 44
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 2016 Citations: 44
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 2023 Citations: 35
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 2019 Citations: 30
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 2017 Citations: 30
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 2016 Citations: 29
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 2024 Citations: 28
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 2021 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 2016 Citations: 22
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 2021 Citations: 21
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 2019 Citations: 21
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 2022 Citations: 18