Electrical and Electronic Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Artificial Intelligence
210
Scopus Publications
5181
Scholar Citations
39
Scholar h-index
108
Scholar i10-index
Scopus Publications
Dielectric nanofluids for transformer cooling: Performance, challenges, and towards smart and sustainable thermal management Rizwan A. Farade, Noor Izzri Abdul Wahab, Jeyraj Selvaraj, Husam S. Samkari, Mohammed F. Allehyani, Nehad Ali Shah, Maddina Dinesh Kumar, Zeeshan Materials Today Sustainability, 2026 Transformers encounter increasing thermal stress due to rising power densities and the integration of renewable energy. This makes it harder for traditional cooling fluids to work. This review's goal is to critically compare empirical studies of dielectric nanofluids as thermal media for power transformers. It integrates reported thermal performance of dielectric nanofluids in different nanoparticle and base fluid systems. Enhancements include thermal conductivity of 0.9-210%, flash point of 44%, fire point of 9%, and pour point of -45%, and reduced gassing tendency. These enhancements come with trade-offs such as specific heat reductions and viscosity increase. The mechanisms that control heat transport are analysed, with focus on nanoscale interfacial phenomena, percolation networks, and phonon transport. The review identifies and reconciles critical knowledge gaps, focussing on long-term stability and interfacial compatibility under thermal cycling. The novel contribution consists of the integration of interfacial physics, performance trade-offs, sustainability considerations, and intelligent monitoring into a cohesive framework. Sustainability is addressed through the exploration of nanoparticle green synthesis pathways. This article extends earlier reviews by adding nanofluids to smart cooling systems driven by Internet of Things (IoT) and artificial intelligence (AI). The main findings suggest that nanoparticle surface chemistry is necessary for thermal enhancement, AI-driven systems boost performance, and green synthesis supports sustainability in next-generation applications. Finally, it points out key areas of research, such as accelerated ageing protocols, standardised evaluation, and renewable-grid integration, to turn laboratory results into practical, sustainable transformer cooling solutions. • Links dielectric nanofluids with smart cooling (IoT/AI) for transformers. • Review literature and identifies key gaps related to stability, modelling, and sustainability. • Thermal performance evaluation of dielectric nanofluids and quantifies performance gains. • Promotes sustainable green synthesis and eco-friendly nanofluids. • Outlines actionable roadmap for industry adoption and standardization.
Radio frequency energy harvesting: A review on progress and development, applications, and sustainability benefits Muhammed Kallumottakkal, Rizwan A. Farade, Mohammad Jawaid, Mahmoud Al Ahmad, Noor Izzri Abdul Wahab, T.M. Yunus Khan, Abdul Saddique Shaik Materials Today Sustainability, 2026 Radio Frequency (RF) energy harvesting is a promising approach to convert ambient RF signals into electrical power suitable for low-energy devices. The exponential growth of the Internet of Things (IoT) has made long-term power solutions important research. This review discusses cutting-edge research on RF energy harvesting, particularly antenna design, which is crucial for maximizing energy efficiency. To deliver a structured analysis, antennas are categorized according to their frequency bands, ports, elements, and polarization modes. The performance metrics—gain, bandwidth, efficiency, and size—are evaluated and analysed in light of practical applications such as healthcare, IoT, mobile communication, and wearable systems. A design-application mapping table and wearable health monitoring case study demonstrate the technology's practicality. This review compares recent designs, discusses design trade-offs, analyses application-specific bottlenecks, and addresses issues related to fabrication challenges for body-worn and flexible systems. Moreover, promotes sustainability through decreased battery dependence, autonomous operation, and reduced electronic waste. Finally, outlines existing limitations and future works focusing on power conversion efficiency, bandwidth upgradability, dynamic range, and key controversies and technological breakthroughs. This paper further elaborates its findings to guide future antenna designs and system integration evolution towards sustainable RF energy harvesting applications for next-generation wireless and IoT applications. • Classification and performance analysis of RF energy harvesting antennas by frequency band, ports, elements, and polarization. • Comparative evaluation of recent designs, enhanced with a dedicated case study. • Design-application mapping framework to bridge antenna technology with system requirements. • Current challenges and future research directions, including research gaps technological breakthroughs. • Bridges advanced antenna technology with sustainability goals.
Optimal µ-PMU Placement and Voltage Estimation in Distribution Networks: Evaluation Through Multiple Case Studies Asjad Ali, Noor Izzri Abdul Wahab, Mohammad Lutfi Othman, Rizwan A. Farade, Husam S. Samkari, Mohammed F. Allehyani Sustainability Switzerland, 2025 This study optimizes the placement of μ-PMUs using the BPSO and BGWO algorithms for the IEEE 33-bus and 69-bus systems, with a focus on minimizing deployment costs while ensuring robust system observability. Three case studies are analysed: Case 1 (normal conditions), Case 2 (single μ-PMU outage), and Case 3 (Zero Injection Buses, ZIBs). In Case 1, both algorithms identified 24 μ-PMUs as the optimal placement for the IEEE 69-bus system, achieving the minimum PMUs required for full observability. For Case 2, redundancy requirements increased the μ-PMU count to 24 μ-PMUs for the IEEE 33-bus system and 51 μ-PMUs for the IEEE 69-bus system, ensuring full observability even under a single μ-PMU failure. Case 3, leveraging Zero Injection Buses (ZIBs), reduced the μ-PMU count to 20 μ-PMUs for both BPSO and BGWO, optimizing the system configuration while maintaining observability. A trade-off analysis was performed to examine the trade-off between redundancy and PMU count, showing that increasing the number of μ-PMUs improves system resilience. Voltage and current channels were measured from the optimized placements to ensure accurate voltage measurement in all case studies. Subsequently, the Weighted Least Squares algorithm was applied for voltage estimation, serving as a peripheral to the main objective of the optimal μ-PMU placement. Voltage estimation was conducted under three noise levels: 0.01 STD for basic analysis and 0.02 and 0.04 STD to observe the impact of varying measurement noise. The results highlight that higher μ-PMU placements improve voltage estimation accuracy, particularly under higher noise levels. Statistical analysis confirms that BGWO outperforms BPSO in terms of computational efficiency, stability, and convergence, especially in large-scale systems. By enhancing grid monitoring and state estimation, this research directly contributes to the development of more resilient and efficient power networks, which is a fundamental prerequisite for integrating renewable energy sources and advancing overall power system sustainability. This research emphasizes the balance between cost and reliability in μ-PMU placement and provides a comprehensive methodology for state estimation in modern power systems.
Cutting-edge dielectric nanofluids: a review of factors influencing stability and thermo-dielectric properties Rizwan A. Farade, Noor Izzri Abdul Wahab, Muhammad Rafiq, Nehad Ali Shah, T. M. Yunus Khan, Syed Waheedullah Ghori Journal of Thermal Analysis and Calorimetry, 2025 Dielectric nanofluids (DNFs) exhibit extraordinary potential in sustainability efforts, as they pave the way for the advancement of compact transformers and heat transfer equipment. This is primarily attributed to their remarkable capacity to augment the thermo-dielectric performance. Numerous factors exert a profound influence on the performance of dielectric nanofluids. Hence, these factors hold paramount significance. Many existing review articles lacking in comprehensive, multifactor perspective. This leads to fragmented insights and difficulty in comparing studies. Existing studies lack real-world relevance, and there is a disconnect between experimental results and industrial settings. This article critically analyzes multiple factors in a single, unified article. Offers deeper insights into the underlying surface mechanisms by empirical support. Provides a comprehensive analysis of the practical implications, challenges in practical applications, and future research directions. In this context, extensively incorporated cutting-edge literature encompasses both commercial and noncommercial grade transformer fluids and heat transfer oils, as well as single-constituent, hybrid, composite, and doped nanoparticles. The encompassed studies indicate that these factors significantly influence the stability and thermo-dielectric properties of dielectric nanofluids. The average AC breakdown voltage (BDV) enhancement was approximately 35%, thermal conductivity improved by around 26%, and tan δ was reduced by about 33%. This article serves as a valuable resource to address challenges and optimize the performance of DNFs focused on energy-efficient transformers and heat transfer equipment, bridges experimental findings with industrial applications, and highlights future research directions. Graphical abstract
Optimizing Voltage Profile and Mitigating Power Losses in Distribution Network Reconfiguration Via the Integration of Distributed Generation Penetration in Malaysia Ahmad Fauzi Othman, Mohammad Lutfi Othman, Mohd Zainal Abidin Ab Kadir, Noor Izzri Abdul Wahab, Aidil Azwin Zainul Abidin Journal of Advanced Research in Applied Mechanics, 2025 Radial distribution networks face challenges such as voltage drop and power losses, which are significant concerns. The objective of reconfiguration in a distribution network is to determine the optimal combination of switching system branches that maximizes a specific goal function while adhering to defined limitations. This process improves the quality of electrical power and enhances the performance of the distribution network. This research paper presents optimal techniques for optimizing the reconfiguration of the distribution system and the installation of DG units to minimize active power losses and improve the bus voltage profile. These techniques are based on technical analysis conducted using the Power System Study ADEPT (PSS ADEPT) software in an industrial setting. The load flow calculations are performed using technical analysis technique simulated by PSS ADEPT. The proposed methods are evaluated in the distribution system of the 145-bus test system. Furthermore, the distribution system model incorporates the solar DGs and load profile. The simulation results demonstrate the effectiveness of the proposed method in reducing active power losses and improving the system bus voltage. Additionally, it successfully addresses the system reconfiguration problem and enhances the performance of the distribution system. These improvements are particularly advantageous when integrating distributed generation (DG) into the distribution network to accommodate load growth over the next 5 years. The results confirm the effectiveness and success of the proposed methodology in determining the most suitable placement and dimensions of solar distributed generators (DGs) to minimize power losses and enhance voltage profiles.
Bio-based liquid nanocomposites for electrical equipment Rizwan A. Farade, Noor Izzri Abdul Wahab, Vasi Uddin Siddiqui, Salit Mohd Sapuan Physical Sciences Reviews, 2025 Vegetable oils are being considered as bio-based transformer liquid alternatives due to their biodegradability and potential for environmental impact reduction. Considering the depletion of mineral oils due to their petroleum-based origins, it appears that bio-based liquids could be viable alternatives for transformer applications. These liquids also show promise for a variety of other electrical and heat transfer applications, such as capacitors, cables, circuit breakers, and tap changers. They are derived from a variety of plants, have cost benefits over synthetic oils and are plentiful in many places. Although bio-based liquids have many benefits, they also have limitations. This includes poor thermo-dielectric performance. Adding nanoparticles to bio-based liquids at the right concentration can address these issues. Although there has been significant progress in research and development regarding the use of nanoparticles in bio-based liquids, no single type of nanoparticle has consistently proven to outperform others in all aspects. This review explores techniques for increasing the efficacy of bio-based liquids by incorporating nanoparticles to form bio-based liquid nanocomposites. It covers contemporary experimental studies on bio-based liquid nanocomposites, including preparation, stability tests, thermal characteristics, and dielectric characteristics. Furthermore, clarifies the fundamental principles that underpin the observed findings in this promising topic. This review seeks to contribute to the growing body of research on bio-based liquid nanocomposites in the field of transformers.
Recent Advancements in Multilevel Inverters: Topologies, Modulation Techniques, and Emerging Applications Taha Abdulsalam Taha, Mohamed Shalaby, Noor Izzri Abdul Wahab, Hussein Ibzir Zaynal, Mohd Khair Hassan, Sulaiman Al-Sowayan, Mohamad A. Alawad Symmetry, 2025 Multilevel inverters (MLIs) have become fundamental in contemporary power electronics, providing enhanced performance compared to conventional two-level inverters regarding their output voltage quality, efficiency, and scalability. This study comprehensively assesses multilevel inverter technologies, including their topologies, control systems, and various applications. The study starts with a comprehensive examination of the core concepts of MLIs, subsequently embarking on a detailed evaluation of both conventional and innovative topologies, such as diode-clamped, flying capacitor, cascaded H-bridge, and modular multilevel converters. The study further examines the control systems used in MLIs, including Pulse Width Modulation (PWM), space vector modulation (SVM), and Model Predictive Control (MPC), emphasizing their benefits and drawbacks. The applications of MLIs in renewable energy systems, electric cars, industrial drives, and grid integration are comprehensively examined. The study closes by examining growing trends, difficulties, and future research paths, emphasizing the ability of MLIs to transform power conversion systems.
A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour Next Energy, 2025 The renewable energy system has yielded substantial enhancements to worldwide power generation. Therefore, precise prediction of long-term renewable energy conductivity is vital for grid system. This study introduces a new predictive output current for the photovoltaic (PV) system using actual experimental data. This research proposes three key contributions: The IMGO method is enhanced using several hybrid tactics to improve local search capabilities and increase exploration of significant regions within the feature space. Subsequently, the architecture of the multilayer feedforward artificial neural network is developed. The IMGO is employed to determine the appropriate hyperparameters of the model, ranging from the number of neurons in the hidden layers and learning rate. The Bayesian regularization backpropagation procedure is applied to update the weights and bias of the network. The proposed IMGO MFFNN model is ultimately combined with Polynomial regression model to improve the predictability of the PV system. The experimental results demonstrated that the proposed IMGO algorithm is very effective in addressing complex problems with high accuracy, capability, and speedy convergence. The proposed hybrid IMGO PMFFNN model proved its superior correlation evaluations, surpassing the performance of ant lion optimizer based on random forest (ALO RF ) model, two stages of ANN (ALO 2ANN ) model, long short-term memory (LSTM), gated recurrent unit (GRU), extreme learning machine (ELM), least square support vector machine (LSSVM), and convolutional neural network (CNN) models. The MATLAB code of the IMGO is free available at: https://www.mathworks.com/matlabcentral/fileexchange/177214-improved-mgo-method . • IMGO is presented based on powerful strategies: MMSS and MSBMH. • IMGO optimized the hyperparameters of the MFFNN. • IMGO is evaluated and analyzed using several benchmark functions. • IMGO PMFFNN model is composed of MFFNN and polynomial regression models. • IMGO PMFFNN model offers a high level of accuracy, stability, and reliability.
Distribution Network Expansion Planning and Integration of Distributed Energy Resources Considering Massive Penetration of Electric Vehicle Charging Stations in Malaysia Wan Yusrizal Wan Yusoff Journal of Advanced Research Design, 2025 By 2030, Malaysia's Low Carbon Mobility Blueprint 2021-2030 anticipates 20,000 Electric Vehicles (EV) in the market. The increase of EV population as transportation due to the environment issue has caused sudden impact to the distribution network system which needs to be tackled urgently. The massive penetration of EVCS into the distribution network system, especially at houses, parking lot and any strategic places either for slow, medium or fast charging, will lead to other crucial issues such as increment of power losses and voltage violations. Hence, Distribution Network Expansion Planning (DNEP) strategies become critical to adhere this issue. Distributed Energy Resources (DERs) with low-carbon efforts are one of the potential sources of power to overcome this issue that have a substantial influence on system reliability and security, particularly in power losses and voltage profiles characteristics. This research paper presents optimal techniques for development of DNEP with integration of DERs towards achieving multi-objectives of minimizing power losses and improving the voltage profiles. These techniques are based on industry-based technical analysis conducted using the Power System Simulator/Advanced Distribution Engineering Productivity Tool (PSS/ADEPT) software. The proposed methods are tested on the realistic 11kV 69-bus radial distribution network. The simulation results successfully demonstrate the effectiveness of the proposed method for DNEP to minimize power losses and voltage profile improvement in the distribution network system due to the massive penetration of EVCS along the 20 years of DNEP horizon in Malaysia.
A Review of Distribution Network Expansion Planning Wan Yusrizal Wan Yusoff, Mohammad Lutfi Othman, Mohd Zainal Abidin Ab Kadir, Noor Izzri Abdul Wahab, Aidil Azwin Zainul Abidin Pertanika Journal of Science and Technology, 2025
MITIGATION OF HARMONIC CURRENT FOR BALANCED THREE-PHASE POWER SYSTEM BASED ON EXTENDED FRYZE ADAPTIVE NOTCH FILTER Journal of Engineering Science and Technology, 2023
Big Data for Smart Grid: A Case Study Taha A. Taha, Mohd Khair Hassan, Hussein I. Zaynal, Noor Izzri Abdul Wahab Big Data Analytics Framework for Smart Grids, 2023
THE OPTIMAL LOCATION AND SIZING OF SINGLE AND MULTIPLE STATCOM USING ANALYTICAL APPROACHES UNDER HIGH LOADING OCCASION Journal of Engineering Science and Technology, 2022
Optimal Placement and Sizing of STATCOM(s) for Power System Security Improvement using MOPSO Bazilah Ismail, Noor Izzri Abdul Wahab, Mohammad Lutfi Othman, Mohd Amran Mohd Radzi, Nor Hidayah Abdul Kahar, Lilik Jamilatul Awalin 2022 IEEE International Conference on Power and Energy Advancement in Power and Energy Systems Towards Sustainable and Resilient Energy Supply Pecon 2022, 2022
Determining optimal tilt angle to maximize the PV yield Hasan Masrur, Mohammad Lutfi Othman, Ahmed Amirul Arefin, Hashim b. Hizam, Noor Izzri Abd. Wahab, Syed Zahurul Islam, Tomonobu Senjyu Pecon 2020 2020 IEEE International Conference on Power and Energy, 2020
Power resilience enhancement of a PV-battery-diesel microgrid Ahmed Amirul Arefin, Hasan Masrur, Mohammad Lutfi Othman, Hashim Hizam, Noor Izri Abdul Wahab, Nur Ayuni Jalaluddin, Syed Zahurul Islam Proceedings 2020 International Conference on Smart Grids and Energy Systems Sges 2020, 2020
Novel farmland fertility algorithm based pidpss design for smib angular stability enhancement International Journal of Advanced Science and Technology, 2020
Effect of dual permanent magnets on low-speed mover having different pitch: Linear oscillatory actuator integrated with magnetic gear Journal of Engineering Science and Technology, 2019
A corrective action scheme for contingency monitoring of transmission line overloading Pertanika Journal of Science and Technology, 2017
Optimal location and size of distributed generation to reduce power losses based on differential evolution technique Pertanika Journal of Science and Technology, 2017
Dual-fuzzy MPPT in photovoltaic-DC analysis for dual-load operation with SEPIC converter International Journal of Simulation Systems Science and Technology, 2017
A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system Pertanika Journal of Science and Technology, 2017
Reconfigurable enhanced path metric updater unit for space time trellis code viterbi decoder Journal of Telecommunication Electronic and Computer Engineering, 2017
Mitigation of power system small signal oscillation using posicast controller and evolutionary programming Journal of Engineering Science and Technology, 2014
A review on microgrid control techniques Pouya Borazjani, Noor Izzri Abdul Wahab, Hashim B. Hizam, Azura Bt Che Soh 2014 IEEE Innovative Smart Grid Technologies Asia Isgt Asia 2014, 2014
Optimisation techniques for location of flexible AC transmission system devices in power systems Department of Electrical, Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, MALAYSIA, Noor Izzri Abdul Wahab, Suleiman Musa, Department of Electrical, Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, MALAYSIA, Rebaz J. Ahmed, Department of Electrical, Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, MALAYSIA, Halimatusaadiah Bt Rusli, Department of Electrical, et al. Journal of Engineering Science and Technology Review, 2013
Modeling of PV standalone microgrid based on IEEE standards, 1562-2007, 1361-2003 and 1013-2007 International Review on Modelling and Simulations, 2013
Innovating engineering guidance to meet challenges of complexity and future development directions: Cases on Energy development and system efficiency Energy Education Science and Technology Part A Energy Science and Research, 2012
Towards knowledge engineering based guidance for electrical engineers Przeglad Elektrotechniczny, 2012
Small signal stability assessment and control of power systems Shojaeddin Mirfendereski, Noor Izzri Abdul Wahab, Jasronita Jasni, Mohammad Lutfi Othman 2012 IEEE International Power Engineering and Optimization Conference Peoco 2012 Conference Proceedings, 2012
Transient stability emergency control using generator tripping based on tracking area-based rotor angle combined with UFLS International Review of Electrical Engineering, 2010
Transient stability assessment of power systems using probabilistic neural network with enhanced feature selection and extraction Department of Electrical, Electronic, Systems Engineering, Faculty of Engineering, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia, Noor Izzri Abdul Wahab, Azah Mohamed, Department of Electrical, Electronic, Systems Engineering, Faculty of Engineering, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia International Journal on Electrical Engineering and Informatics, 2009
Design of the pole placement controller for D-STATCOM in mitigating three phase fault Proceedings of the Inaugural IEEE Pes 2005 Conference and Exposition in Africa, 2005
Design and simulation of pole placement controller for D-STATCOM in power quality problems mitigation Wseas Transactions on Systems, 2005
Hybrid Renewable Energy Systems in Educational Institutions: Pathways to Sustainability and Cost-Effectiveness A Ali, NIA Wahab, ZUA Qureshi, U Azmat, A Muqeet, R Aghamolaei Results in Engineering, 111083 , 2026 2026
Dielectric Nanofluids for Transformer Cooling: Performance, Challenges, and Towards Smart and Sustainable Thermal Management RA Farade, NIA Wahab, J Selvaraj, HS Samkari, MF Allehyani, NA Shah, ... Materials Today Sustainability, 101361 , 2026 2026
Quantum-Catalyst Conversion of Biomass into Value-Added Products F Usmani, VU Siddiqui, MT Ansari, S Jabeen, N Fakhar, R Naaz, ... Quantum Catalysis Reactions for Sustainability: Catalytic Reaction for … , 2026 2026
Frequency Stability Control in Low-Inertia Microgrids Using Optimized Virtual Damping Stabilizers NIA Sabo Aliyu, I. Dabo Abdulmalik, Dauda Dahiru, Kabiru Abubakar Tureta ... Artificial Intelligence Research and Applications (AIra) 2 (1), 55-73 , 2026 2026
Optimal Distribution Network Reconfiguration via the Integration of Distributed Generation Penetration using Meta-Heuristic Technique AF Othman, ML Othman, MZA Ab Kadir, NIA Wahab, AAZA Wahab, ... Journal of Advanced Research Design 139 (1), 101-118 , 2026 2026 Citations: 1
Radio Frequency Energy Harvesting: A Review on Progress and Development, Applications, and Sustainability Benefits M Kallumottakkal, RA Farade, M Jawaid, M Al Ahmad, NIA Wahab, ... Materials Today Sustainability, 101291 , 2025 2025 Citations: 1
Optimal µ-PMU Placement and Voltage Estimation in Distribution Networks: Evaluation Through Multiple Case Studies A Ali, NI Abdul Wahab, ML Othman, RA Farade, HS Samkari, ... Sustainability 17 (24), 11036 , 2025 2025 Citations: 4
State Estimation by Optimal Micro-PMU Placement in Radial Distribution Network A Ali, NIA Wahab, ML Othman, RA Farade 2025 IEEE International Conference on Energy Technologies for Future Grids … , 2025 2025 Citations: 1
Single Objective Hybrid PSOGWO Algorithm for Optimal Micro-PMU Placement A Ali, NIA Wahab, ML Othman, R Farade 2025 3rd Power Electronics and Power System Conference (PEPSC), 105-110 , 2025 2025
Cutting-edge dielectric nanofluids: a review of factors influencing stability and thermo-dielectric properties RA Farade, NI Abdul Wahab, M Rafiq, NA Shah, TMY Khan, SW Ghori Journal of Thermal Analysis and Calorimetry 150 (23), 18917-18965 , 2025 2025 Citations: 10
Comprehensive Analysis of Control Strategies and Rotor Angle Stability in Hybrid Wind Energy Systems Connected to Conventional Grids A Sabo, D Dahiru, NIA Wahab, H Shahinzadeh, H Nafisi, MM Hayati, ... 2025 29th International Electrical Power Distribution Conference (EPDC), 1-8 , 2025 2025 Citations: 1
Bio-based liquid nanocomposites for electrical equipment RA Farade, NI Abdul Wahab, VU Siddiqui, SM Sapuan Physical Sciences Reviews 10 (7-9), 699-722 , 2025 2025 Citations: 4
Deeper insight into thermal conductivity, size, sedimentation, band gap, and moisture effect of nanoparticles on thermo-dielectric performance of nanofluids RA Farade, DEA Mansour, NIA Wahab, MKA Ariffin, RF Emara, ... Journal of Molecular Liquids 434, 127986 , 2025 2025 Citations: 10
Toward green and sustainable dielectric nanofluids: surfactant impacts on stability, properties, and regulations CAS Rizwan A. Farade, Noor Izzri Abdul Wahab, Zafar Said, T.M. Yunus Khan Advances in Colloid and Interface Science 346 , 2025 2025 Citations: 10
Dielectric Nanofluids for Transformers: A Review on Stability, Dielectric, Thermophysical, and Chemical Properties RA Farade, NIA Wahab, DEA Mansour, M Rafiq, TMY Khan, AS Shaik, ... IEEE Access , 2025 2025 Citations: 10
Recent advancements in multilevel inverters: topologies, modulation techniques, and emerging applications TA Taha, M Shalaby, NIA Wahab, HI Zaynal, MK Hassan, S Al-Sowayan, ... Symmetry 17 (7), 1010 , 2025 2025 Citations: 19
Microgrid Control Techniques: A Review AI Dano, A Sabo, O Ogunleye, NI Abdulwahab, H Shahinzadeh, ... Vokasi Unesa Bulletin of Engineering, Technology and Applied Science 2 (2 … , 2025 2025 Citations: 2
A Modelling and Simulation of Damping Controller In DFIG AND PMSG Integrated With A Convectional Grid: A Review A Sabo, D Dahiru, AWN Izzri Vokasi Unesa Bulletin of Engineering, Technology and Applied Science 2 (2 … , 2025 2025 Citations: 4
Performance Analysis of Intelligent Classifiers for High Impedance Fault Detection in a PV-Integrated IEEE-13 Bus System Analyse des performances des classificateurs … NN Mahzan, ML Othman, NIA Wahab, V Veerasamy, NA Salim, ... IEEE Canadian Journal of Electrical and Computer Engineering , 2025 2025 Citations: 2
Optimization of harmonic elimination in PV-fed asymmetric multilevel inverters using evolutionary algorithms TA Almalaisi, NIA Wahab, HI Zaynal, MK Hassan, HS Majdi, AD Radhi, ... International Journal of Robotics and Control Systems 5 (2), 902-916 , 2025 2025 Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
LSTM recurrent neural network classifier for high impedance fault detection in solar PV integrated power system V Veerasamy, NIA Wahab, ML Othman, S Padmanaban, K Sekar, ... IEEE access 9, 32672-32687 , 2021 2021 Citations: 246
Optimal power flow using the Jaya algorithm W Warid, H Hizam, N Mariun, NI Abdul-Wahab Energies 9 (9), 678 , 2016 2016 Citations: 233
A comprehensive review on optimal location and sizing of reactive power compensation using hybrid-based approaches for power loss reduction, voltage stability improvement … B Ismail, NIA Wahab, ML Othman, MAM Radzi, KN Vijyakumar, ... IEEE access 8, 222733-222765 , 2020 2020 Citations: 190
Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers KA Al Sumarmad, N Sulaiman, NIA Wahab, H Hizam Energies 15 (1), 303 , 2022 2022 Citations: 150
A Hankel matrix based reduced order model for stability analysis of hybrid power system using PSO-GSA optimized cascade PI-PD controller for automatic load frequency control V Veerasamy, NIA Wahab, R Ramachandran, ML Othman, H Hizam, ... IEEE Access 8, 71422-71446 , 2020 2020 Citations: 146
A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution W Warid, H Hizam, N Mariun, NIA Wahab Applied Soft Computing 65, 360-373 , 2018 2018 Citations: 144
Corn Starch ( Zea mays ) Biopolymer Plastic Reaction in Combination with Sorbitol and Glycerol MD Hazrol, SM Sapuan, ES Zainudin, MYM Zuhri, NI Abdul Wahab Polymers 13 (2), 242 , 2021 2021 Citations: 126
Computational techniques for assessing the reliability and sustainability of electrical power systems: A review AA Kadhem, NIA Wahab, I Aris, J Jasni, AN Abdalla Renewable and Sustainable Energy Reviews 80, 1175-1186 , 2017 2017 Citations: 122
Fault detection and classification of shunt compensated transmission line using discrete wavelet transform and naive bayes classifier E Aker, ML Othman, V Veerasamy, I Aris, NIA Wahab, H Hizam Energies 13 (1), 243 , 2020 2020 Citations: 105
A Harris Hawks optimization based single-and multi-objective optimal power flow considering environmental emission MZ Islam, NIA Wahab, V Veerasamy, H Hizam, NF Mailah, JM Guerrero, ... Sustainability 12 (13), 5248 , 2020 2020 Citations: 101
A Matignon’s theorem based stability analysis of hybrid power system for automatic load frequency control using atom search optimized FOPID controller AXR Irudayaraj, NIA Wahab, MG Umamaheswari, MAM Radzi, ... IEEE Access 8, 168751-168772 , 2020 2020 Citations: 99
Renewable sources-based automatic load frequency control of interconnected systems using chaotic atom search optimization AXR Irudayaraj, NIA Wahab, M Premkumar, MAM Radzi, NB Sulaiman, ... Applied Soft Computing 119, 108574 , 2022 2022 Citations: 88
Advanced wind speed prediction model based on a combination of weibull distribution and an artificial neural network AA Kadhem, NI Abdul Wahab, I Aris, J Jasni, AN Abdalla Energies 10 (11), 1744 , 2017 2017 Citations: 87
Modified synchronous reference frame based shunt active power filter with fuzzy logic control pulse width modulation inverter S Musa, MA Mohd Radzi, H Hizam, NI Abdul Wahab, Y Hoon, ... Energies 10 (6), 758 , 2017 2017 Citations: 82
Optimal power flow using hybrid firefly and particle swarm optimization algorithm A Khan, H Hizam, NI bin Abdul Wahab, M Lutfi Othman Plos one 15 (8), e0235668 , 2020 2020 Citations: 77
A review on microgrid control techniques P Borazjani, NIA Wahab, HB Hizam, ABC Soh 2014 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA), 749-753 , 2014 2014 Citations: 77
Optimal design and performance analysis of a hybrid off-grid renewable power system considering different component scheduling, PV modules, and solar tracking systems KV Konneh, H Masrur, ML Othman, NIA Wahab, H Hizam, SZ Islam, ... IEEE Access 9, 64393-64413 , 2021 2021 Citations: 75
Investigation of the dielectric and thermal properties of non-edible cottonseed oil by infusing h-BN nanoparticles RA Farade, NIBA Wahab, DEA Mansour, NB Azis, J Jasni, ... Ieee Access 8, 76204-76217 , 2020 2020 Citations: 75
Optimal design of power system stabilizer for multimachine power system using farmland fertility algorithm A Sabo, NI Abdul Wahab, ML Othman, MZA Mohd Jaffar, H Beiranvand International Transactions on Electrical Energy Systems 30 (12), e12657 , 2020 2020 Citations: 70
Artificial intelligence-based power system stabilizers for frequency stability enhancement in multi-machine power systems A Sabo, NIA Wahab, ML Othman, MZABM Jaffar, H Acikgoz, H Nafisi, ... IEEE Access 9, 166095-166116 , 2021 2021 Citations: 65