Nana Chang | Power System Protection | Best Researcher Award

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Dr. Nana Chang | Power System Protection | Best Researcher Award

Lecturer, School of Electrical Engineering, Xi’an University of Technology, China

Dr. Nana Chang is a distinguished researcher in electrical engineering, specializing in power system protection and renewable energy integration. She earned her Ph.D. in Electrical Engineering from Xi’an Jiaotong University in 2024, following a Master’s degree from North China Electric Power University and a Bachelor’s from Xi’an University of Technology. Currently serving as a Lecturer at Xi’an University of Technology, Dr. Chang bridges academia and industry through her involvement in several high-impact research projects. Her work addresses critical challenges in modern power systems, including fault protection in multi-voltage DC grids and resilience under extreme conditions. Dr. Chang has contributed to multiple national-level projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China. She also leads industry-sponsored research, focusing on innovative protection principles for renewable energy-dominated grids.

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Education

Dr. Nana Chang’s academic journey reflects a strong foundation in electrical engineering. She completed her Bachelor of Science in Electrical Engineering and Automation at Xi’an University of Technology in June 2012. Pursuing advanced studies, she obtained a Master of Science in Power System and Automation from North China Electric Power University (Beijing) in April 2015. Her academic pursuit culminated in a Doctor of Philosophy in Electrical Engineering from Xi’an Jiaotong University in September 2024. Her doctoral research focused on innovative protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, addressing the evolving challenges in modern power systems. This progression showcases her commitment to advancing the field of electrical engineering through rigorous academic training and research.

Experience

Dr. Nana Chang’s professional experience spans both academia and industry, highlighting her expertise in electrical engineering. Since September 2024, she has been serving as a Lecturer at Xi’an University of Technology, where she contributes to the academic development of students and engages in cutting-edge research. Prior to her academic role, Dr. Chang worked at State Grid Xianyang Power Supply Company from August 2015 to June 2019, focusing on the secondary equipment maintenance of substations. This experience provided her with practical insights into power system operations and maintenance, enriching her research perspective. Her dual exposure to theoretical and practical aspects of electrical engineering enables her to bridge the gap between academic concepts and real-world applications effectively.

Research Focus 

Dr. Nana Chang’s research is centered on the protection and resilience of modern power systems, particularly in the context of renewable energy integration. Her doctoral research addressed fault characteristics and protection methods for multi-voltage-level, multi-zone interconnected new energy DC distribution systems, a critical area as the energy sector transitions toward decentralized and renewable sources. She is actively involved in projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China, focusing on protection strategies for flexible low-frequency transmission systems and resilience technologies for urban energy systems under extreme conditions. Additionally, Dr. Chang leads industry-sponsored research on innovative protection principles for renewable energy-dominated grids. Her work aims to enhance the reliability and stability of power systems amidst the challenges posed by renewable energy sources.

Publication Top Notes

📘1. Phase Current Based Fault Section Location for Single-Phase Grounding Fault in Non-Effectively Grounded Distribution Network

  • Journal: IEEE Transactions on Industry Applications

  • Year: 2025

  • Authors: Zhongxue Chang, Qingyu He, Nana Chang, Weibin Tan, Wei Zhang, Zhihua Zhang, Guobing Song

  • Summary:
    This paper proposes a novel phase current-based method to locate fault sections caused by single-phase grounding in non-effectively grounded distribution networks. The approach enhances fault localization accuracy in complex systems where conventional methods fall short. The solution reduces misjudgment rates and increases system reliability in medium-voltage power networks, especially relevant to regions with high renewable penetration.

📘 2. Adaptive Fault Identification for Multi-Level Relays Using Fault Tree and User-Defined Inverse-Time Characteristics Equation

  • Journal: Electric Power Systems Research

  • Year: September 2025

  • Authors: Nana Chang, Guobing Song, Jiaheng Jiang

  • Summary:
    This study introduces an adaptive method for fault identification in multi-level relay systems. By combining a fault tree analysis framework with user-defined inverse-time characteristics, the method provides more precise fault detection under variable grid configurations. The adaptive behavior supports more intelligent and flexible relay coordination, particularly important for evolving smart grid environments.

📘 3. An Adaptive Coordinated Wide-Area Backup Protection Algorithm for Network Topology Variability

  • Journal: IEEE Transactions on Power Delivery

  • Year: April 2024

  • Authors: Nana Chang, Guobing Song

  • Summary:
    This paper presents a wide-area backup protection algorithm that adapts to real-time changes in power system topology. The method dynamically adjusts coordination parameters based on topology recognition, improving fault response and ensuring system stability in large-scale and reconfigurable grids. It offers significant improvements in response speed and adaptability for modern interconnected systems.

📘 4. Fault Identification Method Based on Unified Inverse-Time Characteristic Equation for Distribution Network

  • Journal: International Journal of Electrical Power & Energy Systems

  • Year: March 2023

  • Authors: Nana Chang, Guobing Song, Junjie Hou, Zhongxue Chang

  • Summary:
    This article introduces a unified fault identification method for distribution networks using a standardized inverse-time characteristic equation. The technique enhances the coordination of protection devices across diverse protection zones. It is particularly suited for high-penetration renewable energy systems, where conventional settings may not provide reliable fault discrimination due to dynamic operating conditions.

Conclusion

Dr. Nana Chang demonstrates strong technical competence, relevance in research areas, and a well-rounded background in academic and industrial projects. Her work directly contributes to critical advancements in power system protection and renewable energy integration, areas vital to modern energy infrastructure.

Milkias Berhanu Tuka | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Milkias Berhanu Tuka | Electrical Engineering | Best Researcher Award

Dr, Addis Ababa Science and Technology University, Ethiopia

Milkias Berhanu Tuka (Ph.D.) is an Associate Professor at Addis Ababa Science and Technology University (AASTU) in Ethiopia. With extensive academic and professional experience, he specializes in Electrical and Computer Engineering. Dr. Tuka holds a Ph.D. in Electrical Engineering, with a focus on renewable energy and power systems. He has served in various leadership roles, including as a Special Assistant to the Vice President for Academic Affairs and Associate Head of the Electrical and Computer Engineering Department. Dr. Tuka is a recognized leader in both academia and industry, collaborating internationally with institutions like Otto-von-Guericke University (Germany). His work emphasizes sustainable energy solutions and electrical engineering innovations. 🌍⚡

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Strengths for the Award

  1. Extensive Academic and Research Background: Dr. Milkias Berhanu Tuka demonstrates an impressive academic career with significant contributions in the fields of Electrical Engineering, particularly in power systems, renewable energy, and power electronics. His expertise in renewable energies, electrical machines, power electronics, and drives has led to substantial academic achievements, including publishing numerous papers in Scientific Reports and other reputable journals.
  2. International Collaboration and Recognition: His involvement in international projects and partnerships, such as his research with Otto-von-Guericke University in Germany, highlights his capacity for cross-border collaboration. This is evident from his contributions to research and consultancy in projects like the SASCS for DTH under the Europe-Africa Research and Innovation call on Renewable Energy.
  3. Leadership and Influence in Academia: Dr. Tuka has shown notable leadership within academic institutions. His roles as an Associate Professor, Head of the Electrical and Computer Engineering Department, and his position as the Vice President’s Special Assistant for Academic Affairs at Addis Ababa Science and Technology University (AASTU) showcase his organizational and managerial abilities. These positions highlight his responsibility in steering academic programs, overseeing curriculum developments, and ensuring high standards in teaching and research.
  4. Active Contribution to Research Grants and Projects: He has been actively involved in securing and managing multiple research projects and external grants, such as Solar Power System Design, Wind Energy Forecasting, and Consultancy services for the Ethiopian Water Technology Institute. These projects demonstrate his practical application of research and his capacity to drive forward both theoretical and applied research.
  5. Supervision and Mentorship: Dr. Tuka has contributed to the academic development of numerous students, particularly in the supervision of MSc theses and PhD students, helping them to navigate complex research topics and bringing innovative ideas to the forefront.
  6. Diverse Skills and Certifications: His wide array of skills and certifications, such as the completion of Nanodegree Programs in Data Analysis and Programming Fundamentals, along with his recognition from prestigious institutions (e.g., Mandela Washington Fellowship and Honorary Lifetime Membership to International Davis), shows his commitment to lifelong learning and professional growth.

Areas for Improvement

  1. Broader Publication and Citations Reach: While Dr. Tuka has made significant contributions to journals like Scientific Reports, expanding his impact through more high-visibility, high-impact journals, and achieving higher citation counts could further solidify his position as a global thought leader in his field.
  2. Focus on Multidisciplinary Collaboration: Although his work has had a strong focus on electrical engineering and renewable energy, expanding collaborations across multidisciplinary fields (e.g., integrating AI or machine learning into energy systems) could further diversify his research impact and open up new avenues for groundbreaking studies.
  3. Increased Public Engagement: Engaging in more public-facing activities, such as offering talks at global conferences, media interviews, or even online platforms to discuss renewable energy issues or innovations in power systems, could increase his outreach and influence in shaping global energy policy or practices.
  4. Diversifying Research Funding: While Dr. Tuka has excelled in obtaining research grants, diversifying the sources of funding, particularly from international organizations or the private sector, could support even larger-scale projects and increase the impact of his research.

Education

Dr. Tuka obtained his Ph.D. in Electrical Engineering from Adama Science & Technology University and Otto-von-Guericke University, focusing on power quality in wind energy systems. He holds an MSc in Electrical Engineering with a focus on power systems from Adama Science & Technology University. Additionally, he earned a Bachelor’s degree in Electrical-Electronics Technology. Dr. Tuka’s education combines rigorous theoretical learning with hands-on research, particularly in renewable energy solutions and electrical systems optimization. 🎓🔋

Experience

Dr. Tuka has over 15 years of experience in academia and engineering. He is currently an Associate Professor and Special Assistant at AASTU, where he also serves as the Secretary of the Academic Staff Affairs Committee. Previously, he was an Associate Head of the ECE Department at Adama Science and Technology University (ASTU) and a power expert for the ASTU-Mekele University Joint Venture on the Adama-II Wind Power Project. Dr. Tuka has also held leadership roles in various educational projects and is a consultant for renewable energy and power systems. ⚙️🌞

Awards and Honors

Dr. Tuka has received numerous accolades throughout his career, including an Honorary Lifetime Membership from International Davis, U.S., and recognition for his professional contributions to the Department of Electrical and Computer Engineering at ASTU. He is also an awardee of the Mandela Washington Fellowship and has participated in prestigious training programs like the Enel Foundation’s Micro-grid Academy and Open Africa Power. 🏅🌍

Research Focus

Dr. Tuka’s research centers on renewable energy, power systems, electrical machines, and power electronics. His work focuses on optimizing renewable energy integration into the power grid, improving power quality, and designing sustainable energy solutions. Current projects include wind energy forecasting using deep learning, solar power systems, and smart grid technologies. His research aims to provide innovative solutions for energy challenges in Africa and beyond, contributing to the global energy transition. 🌿🔌

Publication Top Notes

  1. A comparative ensemble approach to bedload prediction using metaheuristic machine learning 🌍📊
  2. Design and performance evaluation of a multi-load and multi-source DC-DC converter for electric vehicle systems ⚡🚗
  3. Cable dimension determination using Finite Element Method for gas insulated cables ⚡🔧
  4. Hybrid modeling approach for precise energy estimation based on temperature variations 🌞📐
  5. Maiden application of optimization for load frequency control in microgrids with renewables ⚡🔋
  6. Design of a universal converter for microgrid applications using dynamic programming 🌍🔄
  7. Lyapunov-based neural network model predictive control for energy systems ⚙️🌐
  8. High-efficiency poly-input boost converter for energy storage and EV applications 🔋🚙
  9. Robust load-frequency control for islanded microgrids using 1PD-PID controllers ⚡🔧
  10. Techno-economic analysis of hybrid renewable energy solutions in Cameroon ⚡🌍

Conclusion

Dr. Milkias Berhanu Tuka is undoubtedly a strong candidate for the Best Researcher Award. His academic credentials, research expertise, and leadership in both academia and various research projects highlight his significant contributions to the field of Electrical Engineering. His publications, international collaborations, and impact on both education and research underscore his excellence. With his dedication to innovation and research excellence, Dr. Tuka’s future contributions will likely continue to have a profound impact on the academic community, particularly in renewable energy and power systems, making him a highly deserving candidate for this award. To further enhance his global influence, focusing on broader publication reach, fostering interdisciplinary research, and engaging more publicly would help him elevate his already impressive career.

 

 

Ebrahim Babaei | Electrical Engineering | Best Researcher Award

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Prof Dr Ebrahim Babaei | Electrical Engineering | Best Researcher Award

Professor, University of Tabriz, Iran

Prof. Ebrahim Babaei is a prominent academic and researcher in electrical engineering, recognized as one of the top 1% of scientists globally since 2015. He is a professor at the University of Tabriz, Iran, where he specializes in power engineering and power electronics. With over 17 years of teaching and research experience, he has held leadership roles, including Editor-in-Chief of the Journal of Electrical Engineering. He has contributed significantly to the field through numerous publications, conferences, and collaborations, also serving as an associate editor for various prestigious journals. Prof. Babaei’s expertise spans power electronic converters, renewable energy, and smart grids, earning him international recognition for his research excellence and impact.

Profile

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Strengths for the Award

Prof. Ebrahim Babaei is an outstanding researcher with remarkable contributions to the field of electrical engineering, specifically in power electronics and renewable energy systems. Several key strengths support his candidacy for the Best Researcher Award:

  1. Top One Percent of World Scientists and Academics
    Prof. Babaei has been consistently recognized as being in the top 1% of the world’s scientists and academics (since 2015), according to Thomson Reuters (ISI). This recognition is a clear indicator of his global impact and the significance of his research.
  2. Extensive Research Contributions
    His research primarily focuses on power electronic converters, including matrix converters, multilevel inverters, Z-source inverters, resonance converters, and related fields in power systems. His work has resulted in numerous influential papers, many of which are highly cited in top-tier journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, and Energy Conversion and Management.

    • Highly Cited Papers: Some of Prof. Babaei’s papers, like those on cascade multilevel converter topologies and reduced switch inverter designs, have over 700 citations, demonstrating their importance in the field.
    • Innovative Topologies: His development of novel inverter topologies and multilevel converter designs has advanced the design and efficiency of power electronics, which is critical for applications in renewable energy systems, electric vehicles, and more.
  3. Awards and Recognition
    Prof. Babaei has received numerous prestigious awards and honors, including:

    • Best Paper Awards from renowned conferences such as IEEE International Conference on Power Electronics, Drive Systems, and Technologies (PEDSTC).
    • Outstanding Reviewer Awards for IEEE Transactions on Power Electronics.
    • Multiple Distinguished Researcher Awards at his home institution, University of Tabriz.
    • Recognition from international bodies for his contributions to the field of electrical engineering and technology development.
  4. Leadership in Research and Editorial Roles
    • Editor-in-Chief of the Journal of Electrical Engineering at the University of Tabriz.
    • Associate Editor for several prestigious IEEE journals and international publications, showing his leadership in shaping the direction of research in his field.
    • Extensive collaborations with international research institutions, notably as a visiting professor at universities in Italy and Cyprus.
  5. Research Impact and Practical Applications
    Prof. Babaei’s work is not only theoretical but also has significant practical applications, especially in renewable energy systems, grid integration, and power quality improvement. For instance, his work on dynamic voltage restorers and voltage disturbance mitigation has applications in industrial and utility systems.
  6. Collaborative Research Environment
    Prof. Babaei’s collaborative spirit is reflected in his extensive international network and joint research projects with leading institutions worldwide. This not only strengthens his own work but also contributes to global advancements in power engineering.

Areas for Improvement

While Prof. Babaei’s profile is exceptionally strong, there are a few areas where he could potentially focus on to further enhance his research and contributions:

  1. Expansion of Research into Emerging Technologies
    Prof. Babaei has already worked on a broad range of power electronics applications. However, exploring emerging fields such as Artificial Intelligence (AI) for power system optimization, smart grids, and advanced energy storage systems could provide fresh opportunities for research that align with current and future industry needs.
  2. Broader Impact on Industry
    While Prof. Babaei’s research is academically rigorous and widely cited, increasing its impact on industry applications, especially in terms of commercializing innovative technologies like smart inverters or energy storage solutions, could further elevate his influence. Collaboration with industry partners and developing scalable technologies could bridge the gap between research and real-world applications.
  3. Increased Interdisciplinary Collaboration
    There is an opportunity to further broaden the scope of his research by collaborating with other interdisciplinary areas, such as IoT in power systems, cybersecurity in electrical grids, and sustainable energy solutions. This would open up new avenues of research with societal and environmental benefits.

Education

Prof. Babaei’s educational journey includes a B.Sc. in Electronics Engineering from the University of Tabriz (1993), followed by an M.Sc. in Electrical Engineering (2001), and a Ph.D. in Electrical Engineering (2007) from the same institution. His academic growth reflects a commitment to advancing electrical engineering, particularly in the field of power electronics. His Ph.D. focused on innovative control methods for matrix converters, setting the foundation for his future groundbreaking research in power systems and converters. His education has been complemented by various honorary distinctions, including top honors in each degree he earned.

Experience

Prof. Babaei’s academic career began in 2007 as an Assistant Professor in Electrical Engineering at the University of Tabriz. By 2011, he was promoted to Associate Professor, and in 2015, he became a Full Professor. His leadership extends beyond teaching, as he served as Head of the Department of Power Engineering (2010–2015) and managed various university committees. Prof. Babaei’s experience also includes international academic collaborations, notably as a Visiting Professor at the University of L’Aquila, Italy (2016), and Near East University, Cyprus (2017–Present). His contributions to scientific committees and journal editorial roles highlight his dedication to advancing the field on a global scale.

Awards and Honors

Prof. Babaei has received numerous prestigious awards throughout his career. He has been consistently recognized as one of the world’s top 1% scientists by Thomson Reuters (ISI) from 2015–2023. His accolades include the Best Paper Award at international conferences such as ICEMS (2007) and IEEE RTUCON (2018, 2021), as well as the Highly Cited Researcher Award (2016). In 2021, he was awarded Distinguished Researcher honors from both the University of Tabriz and Near East University, Cyprus. His recognition extends to the national level, where he has been named Distinguished Researcher of Iran in the field of Engineering by the Ministry of Science in 2022.

Research Focus

Prof. Babaei’s research focuses on the analysis, modeling, design, and control of power electronic converters, including dc/dc, ac/ac, and multilevel inverters. He is particularly interested in matrix converters, resonance converters, and renewable energy systems. His work also spans the design and control of FACTS devices and power system dynamics. Prof. Babaei’s innovations in reducing the number of components in power electronic circuits have been groundbreaking. His interdisciplinary research also extends to renewable energy integration and improving power system stability, making him a key contributor to advancements in smart grids and sustainable energy systems.

Publications

  1. A Cascade Multilevel Converter Topology with Reduced Number of Switches
  2. New Cascaded Multilevel Inverter Topology with Minimum Number of Switches
  3. A New Multilevel Converter Topology with Reduced Number of Power Electronic Components
  4. A Single-Phase Cascaded Multilevel Inverter Based on a New Basic Unit with Reduced Number of Power Switches
  5. A Generalized Cascaded Multilevel Inverter Using Series Connection of Submultilevel Inverters
  6. Hybrid Multilevel Inverter Using Switched Capacitor Units
  7. A New General Topology for Cascaded Multilevel Inverters with Reduced Number of Components Based on Developed H-Bridge
  8. Reduction of DC Voltage Sources and Switches in Asymmetrical Multilevel Converters Using a Novel Topology
  9. A New Topology of Cascaded Multilevel Converters with Reduced Number of Components for High-Voltage Applications
  10. Cascaded Multilevel Inverter with Series Connection of Novel H-Bridge Basic Units

Conclusion

Prof. Ebrahim Babaei has demonstrated exceptional leadership in research and made groundbreaking contributions to the fields of power electronics and electrical engineering. His consistent recognition in the top 1% of scientists worldwide, combined with his significant academic and practical contributions, solidifies his credentials for the Best Researcher Award. The breadth and depth of his work in innovative power conversion technologies, renewable energy integration, and power system optimization are highly impactful. Given his outstanding achievements, continued excellence, and potential for future growth, Prof. Babaei is more than deserving of this prestigious recognition. With his strong publication record, numerous awards, and contributions to the global scientific community, he stands as an exemplary candidate for the Best Researcher Award.

 

 

Bonginkosi Thango | Electrical Engineering Award | Best Researcher Award

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Dr Bonginkosi Thango | Electrical Engineering Award | Best Researcher Award

Dr Bonginkosi Thango, University of Johannesburg, South Africa

Dr. Bonginkosi Allen Thango is a distinguished researcher and Senior Lecturer at the University of Johannesburg, specializing in Electrical Engineering. He holds a Doctor of Engineering (D.Eng.) and is a registered Professional Engineering Technologist with ECSA. Dr. Thango’s expertise encompasses Transformer Engineering, Artificial Intelligence & Machine Learning, Digital Twins, and Metaheuristic Algorithms. His research focuses on predictive maintenance strategies, renewable energy integration, and IoT applications in power systems. He has authored numerous peer-reviewed papers and two books, contributing significantly to advancing transformer diagnostics and optimization. Recognized for his academic achievements, Dr. Thango was awarded the Y2 NRF-rated Researcher status in 2024 and received the M&G 2022 200 Young South Africans Award for Technology and Innovation. He actively engages in teaching, research supervision, and community projects, emphasizing innovation in electrotechnology and technology management.

Publication Profile

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Education

Dr. Bonginkosi A. Thango has a rich educational background in Electrical Engineering, culminating in his Doctor of Engineering (D.Eng.) degree from Tshwane University of Technology in 2021. His doctoral research focused on assessing harmonic effects on utility-scale photovoltaic plant step-up transformers. Prior to this, he achieved a Master of Engineering (M.Eng.) with Cum Laude honors in 2019, specializing in transformer winding deformation diagnosis through Sweep Frequency Response Analysis (SFRA). He commenced his academic journey with a Bachelor of Technology (B.Tech.) in Electrical Engineering in 2017, exploring practical simulations of underground cable faults using time-domain reflectometry (TDR). His foundational education includes a National Diploma in Electrical Engineering (2016) and a National Senior Certificate (2010), emphasizing mathematics and physical sciences.

Experience

Dr. Thango’s career is distinguished by his roles in academia and industry. Currently serving as a Senior Lecturer at the University of Johannesburg since 2024, he actively contributes to teaching, research, and academic administration in Electrical Engineering. His responsibilities include curriculum development, supervising postgraduate students, securing research funding, and publishing in peer-reviewed journals. Previously, he held positions such as Lecturer at the same institution from 2022 to 2024, where he conducted research, supervised students, and contributed to innovation in his field.

Awards and Honors

Acknowledged as a leader in his field, Dr. Thango received the Mail and Guardian 2022: 200 Young South Africans award in the category of Technology and Innovation. He is also recognized as a Y2 NRF-rated researcher, highlighting his substantial contributions to engineering research. His academic achievements include scholarships during his postgraduate studies and awards for academic excellence during his early education.

Research focus

Dr. Bonginkosi A. Thango’s research is dedicated to advancing the field of electrical power transformers, focusing on diagnostics, predictive maintenance, and optimization strategies. His work spans various critical areas aimed at enhancing transformer reliability and performance using state-of-the-art technologies and methodologies. He has contributed significantly to understanding and classifying partial discharge sources in power transformers through systematic literature reviews and empirical studies. Dr. Thango’s research also delves into predictive modeling for transformer insulation, particularly using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to forecast the remaining life cycle of cellulose insulation. Additionally, he explores the integration of solar photovoltaic (PV) systems with transformers, investigating the techno-economic implications and optimizing PV transformer designs

Publication Top Notes

🔍 “Partial Discharge Source Classification in Power Transformers: A Systematic Literature Review” (2024) – Investigates methods for categorizing partial discharge sources in transformers.

🔬 “A Technique for Transformer Remnant Cellulose Life Cycle Prediction Using Adaptive Neuro-Fuzzy Inference System” (2023) – Develops a predictive model for assessing cellulose insulation life in transformers.

☀️ “Techno-Economic Modelling of Solar Photovoltaic (PV) Power Transformers in South Africa” (2023) – Explores economic implications of integrating PV systems with transformers.

🛠️ “Dissolved Gas Analysis and Application of Artificial Intelligence Technique for Fault Diagnosis in Power Transformers: A South African Case Study” (2022) – Applies AI to fault diagnosis via dissolved gas analysis.

📊 “Feedforward Artificial Neural Network (FFANN) Application in Solid Insulation Evaluation Methods for the Prediction of Loss of Life in Oil-Submerged Transformers” (2022) – Utilizes FFANN for predicting transformer insulation degradation.

🔧 “Application of the Analysis of Variance (ANOVA) in the Interpretation of Power Transformer Faults” (2022) – Analyzes transformer fault data using ANOVA techniques.

🌐 “On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers” (2022) – Focuses on using neural networks for early fault detection in transformer gases.