HAMDAN DANIYAL

@umpsa.edu.my

FAKULTI TEKNOLOGI KEJURUTERAAN ELEKTRIK DAN ELEKTRONIK
UNIVERSITI MALAYSIA PAHANG AL-SULTAN ABDULLAH



              

https://researchid.co/drhamdan
9

Scopus Publications

167

Scholar Citations

2

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Short-Term forecasting of floating photovoltaic power generation using machine learning models
    Mohd Herwan Sulaiman, Mohd Shawal Jadin, Zuriani Mustaffa, Mohd Nurulakla Mohd Azlan, and Hamdan Daniyal
    Elsevier BV

  • Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning
    Mohd Herwan Sulaiman, Mohd Shawal Jadin, Zuriani Mustaffa, Hamdan Daniyal, and Mohd Nurulakla Mohd Azlan
    Elsevier BV

  • Moth flame algorithm-based optimization of a reduced switch multilevel inverter topology suitable for standalone application
    Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, and Aisha Muhammad
    Springer Science and Business Media LLC

  • Characterization of electrochemical double layer capacitor electrode using self-discharge measurements and modeling
    Ria Kunwar, Bhupender Pal, Izan Izwan Misnon, Hamdan Daniyal, Fatemeh Zabihi, Shengyuan Yang, Zděnek Sofer, Chun-Chen Yang, and Rajan Jose
    Elsevier BV

  • Hand Calibration with Limited Data As the Initial Step Towards System Dynamics Model Validation for COVID-19 Case in Malaysia
    Aisyah Ibrahim, Tuty Asmawaty Abdul Kadir, Roderick H. MacDonald, and Hamdan Daniyal
    IEEE
    This paper presents the manual calibration effort for the System Dynamics (SD) COVID-19 model for Malaysia. This study aims to develop a COVID-19 SD model based on the COVID-19 scenario in Malaysia. The SD model consisted of nine compartments and was adapted based on a standard disease SEIR model using Vensim software. While the development of the model is still ongoing, an initial validation was carried out between ‘Actively Infected’ and the case data gathered from the Malaysia Ministry of Health's official COVID-19 websites. During this period, the parameters were manually adjusted by hand to align the model's output with the actual data. The expected outcome was not easy to achieve, but the result was acceptable. It is important to note that the lack of such strategies may compromise the model's validity due to uncertainty. This paper also discusses the challenges posed by hand calibration, the lessons learned during this work, and the potential future implications of this work.

  • Adaptive online auto-tuning using Particle Swarm optimized PI controller with time-variant approach for high accuracy and speed in Dual Active Bridge converter
    Suliana Ab-Ghani, Hamdan Daniyal, Abu Zaharin Ahmad, Norazila Jaalam, Norhafidzah Mohd Saad, Nur Huda Ramlan, and Norhazilina Bahari
    American Institute of Mathematical Sciences (AIMS)
    <abstract> <p>Electric vehicles (EVs) are an emerging technology that contribute to reducing air pollution. This paper presents the development of a 200 kW DC charger for the vehicle-to-grid (V2G) application. The bidirectional dual active bridge (DAB) converter was the preferred fit for a high-power DC-DC conversion due its attractive features such as high power density and bidirectional power flow. A particle swarm optimization (PSO) algorithm was used to online auto-tune the optimal proportional gain (<italic>K<sub>P</sub></italic>) and integral gain (<italic>K<sub>I</sub></italic>) value with minimized error voltage. Then, knowing that the controller with fixed gains have limitation in its response during dynamic change, the PSO was improved to allow re-tuning and update the new <italic>K<sub>P</sub></italic> and <italic>K<sub>I</sub></italic> upon step changes or disturbances through a time-variant approach. The proposed controller, online auto-tuned PI using PSO with re-tuning (OPSO-PI-RT) and one-time (OPSO-PI-OT) execution were compared under desired output voltage step changes and load step changes in terms of steady-state error and dynamic performance. The OPSO-PI-RT method was a superior controller with 98.16% accuracy and faster controller with 85.28 s<sup>-1</sup> average speed compared to OPSO-PI-OT using controller hardware-in-the-loop (CHIL) approach.</p> </abstract>

  • Evolutionary mating algorithm
    Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal, and Seyedali Mirjalili
    Springer Science and Business Media LLC

  • A Holistic Architecture for a Sales Enablement Sensing-as-a-Service Model in the IoT Environment
    Rashidah Funke Olanrewaju, Burhan Ul Islam Khan, Khang Wen Goh, Aisha Hassan Abdalla Hashim, Khairul Azami Bin Sidek, Zuhani Ismail Khan, and Hamdan Daniyal
    MDPI AG
    Sales enablement sensing-as-a-service (SESaaS) is an organisation’s future process management for any sales management operation. With an expanding base of dynamic customer demands and the adoption of multiple technological advancements, there is a high possibility that human-centric sales management will be transformed into a fully automated form aimed at increasing productivity and being able to cater to effectively a broader customer base. A review of the relevant literature demonstrates that machine learning is one of the most prevalent techniques in analytics for predicting sales behaviour. However, SESaaS includes many features beyond the sales component. Internet-of-Things (IoT) can additionally be used for networking and data analytics to enrich sales data. Therefore, the proposed scheme introduces a novel SESaaS model capable of balancing the sales team’s needs with those of the customers to maximise profits. The proposed model also presents a novel learning scheme in the IoT environment that aids in projecting the service quality score to the final customer, thereby positively influencing the customer to pay a service fee for a superior and desired quality of experience. Unlike any existing sales management scheme, the proposed scheme offers a novel research methodology for improving sales enablement practices, emphasising service scalability, and forecasting company profit. In contrast to any existing system for sales management, the proposed scheme provides greater accuracy, higher service quality, and faster response time in its predictive strategy for projecting the cost of the adoption of SESaaS, which is not reported in any existing studies. In an extensive testing environment, it is determined that the proposed scheme achieves accuracy and service quality of approximately 98.75% and 92.91%, respectively. In addition, the proposed SESaaS model has a significantly faster response time of 1.256 s. These quantifiable outcomes were validated after being compared with commonly adopted learning programs.

  • The internet of things vision: A comprehensive review of architecture, enabling technologies, adoption challenges, research open issues and contemporary applications
    Rashidah Funke Olanrewaju, Burhan Ul Islam Khan, Aisha Hassan Abdalla Hashim, Khairul Azami Sidek, Zuhani Ismail Khan, and Hamdan Daniyal
    Akademia Baru Publishing
    With the improvements in machine-to-machine (M2M) communication, ubiquitous computing, and wireless sensor networks, the Internet of Things (IoT) has become a notion that is constantly rising in importance. Using uniquely addressable IDs, the Internet of Things links diverse physical items and allows them to communicate with one another through the Internet. A general overview of the IoT in the context of the architecture and associated technologies is provided in this article. On the other hand, the Internet of Things does not follow a standardised architecture model. This is accomplished by describing widely recognised architectural concepts that are subsequently refined with the associated technology in various tiers. Also included are some solutions that have been developed and future directions for addressing the obstacles faced by the IoT paradigm. Finally, the article discusses several Internet of Things applications to demonstrate the viability of the IoT idea in real-world settings.

  • Dynamic Control and Performance of Dual Active Bridge Converter based Particle Swarm Optimization
    S. Ab-Ghani, H. Daniyal, N. Jaalam, N. M. Saad, and N. H. Ramlan
    Institution of Engineering and Technology

  • Selective Harmonic Elimination using MFO for a Reduced Switch Multi-level Inverter topology
    Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, and Aisha Muhammad
    IEEE
    This research article proposed a new modified single-phase multi-level inverter topology with an optimal switching control strategy to reduce the inverter output harmonic distortion. The topology is configured to operate in asymmetric mode to generate eleven levels of output voltage steps. Additionally, a selective harmonic elimination technique has been deployed to minimize the switching loss and EMI. The Moth Flame Optimization (MFO) algorithm is deployed to compute the optimal switching angles. The proposed MLI topology is simulated in PSIM software using the optimized switching angles. The inverter performance parameters such as the total harmonic distortion (THD), harmonic amplitudes, switching, and conduction losses, were also analyzed and reported. The topology total harmonic distortion is 2.4%, hence satisfying the IEEE 519 standard.

  • Time-Variant Online Auto-Tuned PI Controller Using PSO Algorithm for High Accuracy Dual Active Bridge DC-DC Converter
    Suliana Ab-Ghani, Hamdan Daniyal, Norazila Jaalam, Nur Huda Ramlan, and Norhafidzah Mohd Saad
    IEEE
    The proliferation of clean energy and environmentally friendly transportation has contributed to the development of electric vehicles (EVs) including the EV DC charger system. A dual active bridge (DAB) is a DC-DC converter that has the required features for an EV DC charger. A proportional-integral (PI) controller is a common method in power electronics applications, including DAB. However, the manual tuning of PI parameters using Ziegler-Nichols (ZN) needs a lengthy time and the tuning values are practical and well-functioning at the tuning point only. Moreover, the fixed gains in offline tuning cannot fully control the system output as needed and do not guarantee the robustness of the system. This paper proposes a time-variant online auto-tuned PI controller using a particle swarm optimization (PSO) algorithm for the 200 kW DAB system. The DAB performance with the proposed controller is evaluated in terms of steady-state error, eSS and dynamic performance under various reference voltages at different loads and load step changes. Comparative analysis between the proposed method and manual tuning performance are presented. A hardware-in-the-loop (HIL) experimental circuit is built to validate the simulation results. The DAB with the proposed method produces 64% higher accuracy and 40% faster response compared to manual tuning. tuning.

  • Moth Flame Optimization Maximum Power Point Tracking Algorithm for Photovoltaic System Under Partial Shaded Conditions
    Meng Chung Tiong, Hamdan Daniyal, Mohd Herwan Sulaiman, and Mohd Shafie Bakar
    Springer Singapore

  • A High Accuracy Control of Dual Active Bridge DC-DC Converter Using PSO Online Direct Tuning
    Suliana Ab-Ghani, Hamdan Daniyal, Nur Huda Ramlan, Norhafidzah Mohd Saad, and Meng Chung Tiong
    Springer Singapore

  • Overviews of Uncertainty: Concepts, Categories and Coping Strategies in Decision Making
    Aisyah Ibrahim, Tuty Asmawaty Abdul Kadir, Hamdan Daniyal, and Adzhar Kamaludin
    Springer International Publishing

  • Components for COVID19 Outbreak Control Model: A System Dynamics Perspective
    Aisyah Ibrahim, Tuty Asmawaty Abdul Kadir, Hamdan Daniyal, and Adzhar Kamaludin
    IEEE
    The world is facing a massive challenge as the COVID-19 outbreak strikes across the globe. Many efforts have been made to detect, control and contain the coronavirus proactively and aggressively before a further catastrophe occurs. Indeed, ending the global COVID-19 pandemic is not a simple task. It requires adequate planning and implementation of sustainable strategies and interventions to control COVID-19 from keep spreading globally. One way to address this issue is using System Dynamics (SD). With this aim in mind, this paper presents an initial COVID-19 modelling work in the formulation stage of SD methodology. A literature review was carried out on published and unpublished papers to understand the essential outbreak model design structure. Within this process, a total of 15 COVID-19 models in SD were gathered and analysed. As the outcome, this paper highlights the components of the conceptual representation model for the COVID-19 outbreak, which later can serve as the core basis for modelling complex COVID19 outbreak dynamics and interventions for future development. As an implication, a comprehensive model can be developed to support decision making.

  • Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview
    Aisyah Ibrahim, Hamdan Daniyal, Tuty Asmawaty, and Adzhar Kamaludin
    The Science and Information Organization
    System Dynamics (SD) modelling is a highly complex process. Although the SD methodology has been discussed extensively in most breakthroughs and present literature, discussions on data collection methods for SD modelling are not explained in details in most studies. To date, comprehensive descriptions of knowledge extraction for SD modelling is still scarce in the literature either. In an attempt to fill in the gap, three primary groups of data sources proposed by Forrester: (1) mental database, (2) written database and (3) numerical database, were reviewed, including the potential data collections methods for each database by taking into account the advancement of current computer and information technology. The contributions of this paper come in threefolds. First, this paper highlights the potential data sources that deserved to be acknowledged and reflected in the SD domain. Second, this paper provides insights into the appropriate mix and match of data collection methods for SD development. Third, this paper provides a practical synthesis of potential data sources and their suitability according to the SD modelling stage, which can serve as modelling practice guidelines.

  • Performance comparison of series and parallel damped LCL filters using 5-level voltage source converter
    Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, and Aisha Muhammad
    Springer Science and Business Media LLC

  • Particle swarm optimization strategy to increase efficiency of dual active bridge Dc-Dc converter


  • Online PSO-tuned phase shift angle controller for dual active bridge DC–DC converter
    Suliana Ab-Ghani, Hamdan Daniyal, Nur Huda Ramlan, and Meng Chung Tiong
    Springer Science and Business Media LLC

  • Hyperheuristics Trajectory Based Optimization for Energy Management Strategy (EMS) of Split Plug-In Hybrid Electric Vehicle
    Muhammad Ikram Mohd Rashid, Ahmad Amir Solihin Mohd Apandi, Hamdan Daniyal, and Mohd Ashraf Ahmad
    Springer Singapore

  • Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems
    Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, and Hamdan Daniyal
    Elsevier BV
    Abstract This paper presents a novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm mimics the mating behaviour of barnacles in nature for solving optimization problems. The BMO is first benchmarked on a set of 23 mathematical functions to test the characteristics of BMO in finding the optimal solutions. It is then applied to optimal reactive power dispatch (ORPD) problem to verify the reliability and efficiency of BMO. Extensive comparative studies with other algorithms are conducted and from the simulation results, it is observed that BMO generally provides better results and exhibits huge potential of BMO in solving real optimization problems.

  • Selective harmonic elimination (SHE) based 3-phase multilevel voltage source inverter (VSI) for standalone applications
    Ibrahim Haruna Shanono, Nor Rul Hasma Abdullah, Hamdan Daniyal, and Aisha Muhammad
    Springer Science and Business Media LLC

  • A comparative study of hysteresis current controller and pi controller in grid-connected inverter
    Christopher Ngadi Anak Julius and
    The World Academy of Research in Science and Engineering
    The use of renewable energy sources is highly demand in electricity market nowadays. The incorporation of renewable energy sources with the utility grid has becoming a challenging task in power system as it arises several control issues such as grid stability, power quality control, loads sharing and others. This paper presents current control methods namely Hysteresis controller and Proportional-Integral controller used to interface of single-phase grid connected inverter with nonlinear load. The impact of nonlinear load on grid current is analysed by measuring the performance of total current harmonics distortion (THDi) level in MATLAB Simulink software environment.

  • Barnacles mating optimizer: An evolutionary algorithm for solving optimization
    Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal, Ismail Musirin, and Mohd Razali Daud
    IEEE
    A new evolutionary algorithm called Barnacles Mating Optimizer (BMO) to solve optimization problems is presented in this paper. BMO is inspired from the behavior of barnacle’ mating in nature. They are known as micro-organisms that existed since Jurassic times and classified as hermaphroditic micro-organisms. They have a unique feature which is they own long penises that can be said as the longest among microorganisms, relatively to size of their body. To show the effectiveness of proposed BMO in solving optimization problems, a set of 23 mathematical functions are used to test the characteristic of BMO in finding the optimal solutions especially in unimodal, multimodal and composite test functions. Comparisons with other evolutionary and swarm algorithms also will be presented.

RECENT SCHOLAR PUBLICATIONS

  • Short-Term forecasting of floating photovoltaic power generation using machine learning models
    MH Sulaiman, MS Jadin, Z Mustaffa, MNM Azlan, H Daniyal
    Cleaner Energy Systems 9, 100137 2024

  • Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning
    MH Sulaiman, MS Jadin, Z Mustaffa, H Daniyal, MNM Azlan
    Journal of Building Engineering 94, 109948 2024

  • Moth flame algorithm-based optimization of a reduced switch multilevel inverter topology suitable for standalone application
    IH Shanono, NRH Abdullah, H Daniyal, A Muhammad
    Neural Computing and Applications 36 (16), 9437-9479 2024

  • Optimizing performance of a reduced switch multi‐level inverter with moth‐flame algorithm and SHE‐PWM
    IH Shanono, NRH Abdullah, H Daniyal, A Muhammad
    The Journal of Engineering 2023 (11), e12281 2023

  • Hand Calibration with Limited Data As The Initial Step Towards System Dynamics Model Validation For COVID-19 Case In Malaysia
    A Ibrahim, TAA Kadir, RH MacDonald, H Daniyal
    2023 IEEE 8th International Conference On Software Engineering and Computer 2023

  • Adaptive online auto-tuning using Particle Swarm optimized PI controller with time-variant approach for high accuracy and speed in Dual Active Bridge converter.
    S Ab-Ghani, H Daniyal, AZ Ahmad, N Jaalam, NM Saad, NH Ramlan, ...
    AIMS Electronics & Electrical Engineering 7 (2) 2023

  • Evolutionary mating algorithm
    MH Sulaiman, Z Mustaffa, MM Saari, H Daniyal, S Mirjalili
    Neural Computing and Applications 35 (1), 487-516 2023

  • Dynamic control and performance of dual active bridge converter based particle swarm optimization
    S Ab-Ghani, H Daniyal, N Jaalam, NM Saad, NH Ramlan
    IET Conference Proceedings CP808 2022 (22), 312-316 2022

  • Selective Harmonic Elimination Using MFO for a Reduced Switch Multi-Level Inverter Topology
    IH Shanono, NRH Abdullah, H Daniyal, A Muhammad
    2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA), 1-6 2022

  • Time-Variant Online Auto-Tuned PI Controller Using PSO Algorithm for High Accuracy Dual Active Bridge DC-DC Converter
    S Ab-Ghani, H Daniyal, N Jaalam, NH Ramlan, NM Saad
    2022 IEEE International Conference on Automatic Control and Intelligent 2022

  • A High Accuracy Control of Dual Active Bridge DC-DC Converter Using PSO Online Direct Tuning
    S Ab-Ghani, H Daniyal, NH Ramlan, NM Saad, MC Tiong
    Proceedings of the 6th International Conference on Electrical, Control and 2022

  • Moth Flame Optimization Maximum Power Point Tracking Algorithm for Photovoltaic System Under Partial Shaded Conditions
    MC Tiong, H Daniyal, MH Sulaiman, MS Bakar
    Proceedings of the 6th International Conference on Electrical, Control and 2022

  • Overviews of Uncertainty: Concepts, Categories and Coping Strategies in Decision Making
    A Ibrahim, TAA Kadir, H Daniyal, A Kamaludin
    Proceedings of International Conference on Emerging Technologies and 2022

  • A Book Review on Fifty Strategies to Boost Cognitive Engagement
    MS Bakar, AA Bakar, H Daniyal
    Asean Journal of Engineering Education 5 (2) 2021

  • Optimal reactive power dispatch: a bibliometric analysis
    IH Shanono, A Muhammad, NRH Abdullah, H Daniyal, MC Tiong
    Journal of Electrical Systems and Information Technology 8, 1-23 2021

  • Components for COVID19 outbreak control model: A system dynamics perspective
    A Ibrahim, TAA Kadir, H Daniyal, A Kamaludin
    2021 International Conference on Software Engineering & Computer Systems and 2021

  • Potential data collections methods for system dynamics modelling: a brief overview
    A Ibrahim, H Daniyal, TAA Kadir, A Kamaludin
    International Journal of Advanced Computer Science and Applications 12 (3) 2021

  • Performance comparison of series and parallel damped LCL filters using 5-level voltage source converter
    IH Shanono, NRH Abdullah, H Daniyal, A Muhammad
    SN Applied Sciences 2, 1-12 2020

  • Hyperheuristics Trajectory Based Optimization for Energy Management Strategy (EMS) of Split Plug-In Hybrid Electric Vehicle
    MI Mohd Rashid, AASM Apandi, H Daniyal, MA Ahmad
    InECCE2019: Proceedings of the 5th International Conference on Electrical 2020

  • Online PSO-tuned phase shift angle controller for dual active bridge DC–DC converter
    S Ab-Ghani, H Daniyal, NH Ramlan, MC Tiong
    SN Applied Sciences 2, 1-8 2020

MOST CITED SCHOLAR PUBLICATIONS

  • Barnacles mating optimizer: a new bio-inspired algorithm for solving engineering optimization problems
    MH Sulaiman, Z Mustaffa, MM Saari, H Daniyal
    Engineering Applications of Artificial Intelligence 87, 103330 2020
    Citations: 392

  • Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique
    RNS Mei, MH Sulaiman, Z Mustaffa, H Daniyal
    Applied Soft Computing 59, 210-222 2017
    Citations: 258

  • Comparative study of P&O and modified incremental conductance algorithm in solar maximum power point tracking
    TM Chung, H Daniyal, MH Sulaiman, MS Bakar
    4th IET Clean Energy and Technology Conference (CEAT 2016), 1-6 2016
    Citations: 57

  • Evolutionary mating algorithm
    MH Sulaiman, Z Mustaffa, MM Saari, H Daniyal, S Mirjalili
    Neural Computing and Applications 35 (1), 487-516 2023
    Citations: 52

  • Barnacles mating optimizer: an evolutionary algorithm for solving optimization
    MH Sulaiman, Z Mustaffa, MM Saari, H Daniyal, I Musirin, MR Daud
    2018 IEEE international conference on automatic control and intelligent 2018
    Citations: 42

  • Modified firefly algorithm in solving economic dispatch problems with practical constraints
    MH Sulaiman, H Daniyal, MW Mustafa
    2012 IEEE international conference on power and energy (PECon), 157-161 2012
    Citations: 39

  • Forward kinematics of 3 degree of freedom delta robot
    M Mustafa, R Misuari, H Daniyal
    2007 5th Student Conference on Research and Development, 1-4 2007
    Citations: 39

  • An overview on microgrid control strategies
    MN Ahmed, M Hojabri, AM Humada, HB Daniyal, HF Frayyeh
    International Journal of Engineering and Advanced Technology (IJEAT) 4 (5 2015
    Citations: 38

  • A new swarm intelligence approach for optimal chiller loading for energy conservation
    MH Sulaiman, H Ibrahim, H Daniyal, MR Mohamed
    Procedia-Social and Behavioral Sciences 129, 483-488 2014
    Citations: 27

  • Hysteresis, PI and ramptime current control techniques for APF: An experimental comparison
    H Daniyal, E Lam, LJ Borle, HHC Iu
    2011 6th IEEE Conference on Industrial Electronics and Applications, 2151-2156 2011
    Citations: 21

  • Application of moth-flame optimizer and ant lion optimizer to solve optimal reactive power dispatch problems
    RNS Mei, MH Sulaiman, H Daniyal, Z Mustaffa
    Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10 2018
    Citations: 16

  • ADVISOR simulation and performance test of split plug-in hybrid electric vehicle conversion
    MIM Rashid, H Danial
    Energy Procedia 105, 1408-1413 2017
    Citations: 16

  • Arduino based power meter using instantaneous power calculation method
    TM Chung, H Daniyal
    Asian Res. Publishing Netw. J. Eng. Appl. Sci 10 (21), 9791-9795 2015
    Citations: 16

  • Monitoring the quality of welding based on welding current and ste analysis
    A Mazlan, H Daniyal, AI Mohamed, M Ishak, AA Hadi
    IOP Conference series: materials science and engineering 257 (1), 012043 2017
    Citations: 15

  • Advanced techniques in harmonic suppression via active power filter: A review
    E Mhawi, H Daniyal, MH Sulaiman
    Int. J. Power Electron. Drive Syst 6 (2), 185-195 2015
    Citations: 15

  • Economic dispatch solution using moth-flame optimization algorithm
    MH Sulaiman, Z Mustaffa, MIM Rashid, H Daniyal
    MATEC web of conferences 214, 03007 2018
    Citations: 14

  • Solving optimal reactive power planning problem utilizing nature inspired computing techniques
    MH Sulaiman, Z Mustaffa, H Daniyal, MR Mohamed, O Aliman
    ARPN Journal of Engineering and Applied Sciences 10 (21), 9779-9785 2015
    Citations: 14

  • PID bidirectional speed controller for BLDC with seamless speed reversal using Direct Commutation Switching Scheme
    S Pothorajoo, H Daniyal
    2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC), 7-12 2017
    Citations: 13

  • Application of moth-flame optimization algorithm for solving optimal reactive power dispatch problem
    MH Sulaiman, Z Mustaffa, O Aliman, H Daniyal, MR Mohamed
    4th IET Clean Energy and Technology Conference (CEAT 2016) 2016
    Citations: 12

  • Experimental verification of the linear current transformer model
    GSS Chau, S Ziegler, HHC Iu, H Daniyal
    2008 Australasian Universities Power Engineering Conference, 1-6 2008
    Citations: 11