Prof. Shunli Wang

Academic leader of the National Electrical Safety and Quality Testing Center, Smart Energy Storage Institute, China

Biography: Prof. Shunli Wang is a Doctoral Supervisor, Academic Dean, Academic Leader of the National Electrical Safety and Quality Testing Center, Academician of the Russian Academy of Natural Sciences, Provincial Senior Overseas Talent, Provincial level scientific and technological talents, Academic and Technical Leader of China Science and Technology City, and top 2% of top scientists in the world, who is an authoritative expert in renewable energy research. His research interests include modeling, state estimation, and safety management for energy storage systems. 56 projects have been undertaken, including the projects from the National Natural Science Foundation of China and the Provincial Science and Technology Department. 258 research papers have been published (Research Interest Score: 11547; Citations: 3167; h-index: 29). 53 intellectual property rights have been applied, of which 23 authorizations have been approved. 9 books have been published by famous publishers such as Elsevier and IET. 23 honorary titles or awards have been achieved, such as young scholars and leading experts of innovative talent teams. Also, the team has been continuously supported by the "University & Enterprise Innovative Talent Team Support Plan" and unanimously praised by employers and peer experts.

Title: Core State Parameter Monitoring of High-reliability Smart Energy Storage Systems
Abstract: As an important component of the smart grid energy storage system, high-precision state of health estimation of lithium-ion batteries is crucial for ensuring the power quality and supply capacity of the smart grid. To achieve this goal, an improved integrated algorithm based on multiple layer kernel extreme learning machine and genetic particle swarm optimization algorithm is proposed to estimate the SOH of Lithium-ion batteries. Kernel function parameters are used to simulate the update of particle position and speed, and genetic algorithm is introduced to select, cross and mutate particles. The improved particle swarm optimization is used to optimize the extreme value to improve prediction accuracy and model stability. The cycle data of different specifications of LIB units are processed to construct the traditional high-dimensional health feature dataset and the low-dimensional fusion feature dataset, and each version of ML-ELM network is trained and tested separately. The numerical analysis of the prediction results shows that the root mean square error of the comprehensive algorithm for SOH estimation is controlled within 0.66%. The results of the multi-indicator comparison show that the proposed algorithm can track the true value stably and accurately with satisfactory high accuracy and strong robustness, providing guarantees for the efficient and stable operation of the smart grid.
 

Dr. Prof. P Venkatesh (IEEE Senior Member)

BOYSCAST Fellow
Department of Electrical & Electronics Engineering
Thiagarajar College of Engineering, India

Biography: From 1994 onwards, he works as a teaching faculty in various positions as a lecturer, Assistant professor, Associate professor, Professor and guiding undergraduate and post-graduate Engineering students in Thiagarajar College of Engineering, Madurai, Tamilnadu, India. Received BOYSCAST Fellowship scheme award in 2006 from Department of Science and Technology (DST), India for carrying out Post Doctoral research work at The Pennsylvania State University, University Park, USA.

He is Fellow in Institution of Engineers (India) (IE (India), Senior Member in IEEE (USA) and a life member in Indian Society for Technical Education (ISTE), Execom Member, IEEE PES Madras Chapter.

He has visited countries Malaysia and Singapore. He has produced 12 Ph.D scholars so far. Currently, He has an h index of 22. I have written a book, namely Electrical Power System Analysis, Security and Deregulation and one more book chapter in the title smart grid. He has completed three projects funded by AICTE, DST-FAST Track and UGC. Further information is available at www.tinyurl.com/venkateshtce 

Title: Solar Roof top PV panel in Home – A case study
Abstract: This talk presents the installation procedure of 2 KW Grid connected solar roof top PV panel in home. The selection of rating of 2 KW Grid connected solar roof top PV panel is done by the calculation with the consumer's electricity bill. The bimonthly electricity bill is considered. The site survey, PV module arrangements, IV and PV characteristics of solar panel have been made in the case study. The electrical connection of 2 KW grid-connected solar roof top PV panel is depicted with suitable figures. The case study shows a reduction of energy consumption of approximately INR. 1500 from home after installing 2 KW Grid-connected solar roof top PV panel which is reflected in the bimonthly Electricity bill of the consumer. More information is available on YouTube: https://youtu.be/W3SWye6w03E
 

Dr. Oveis Abedinia (IEEE Senior Member)
Head of Future Sustainable energy Institute, Ardabil, Iran.

Biography: Oveis Abedinia holds a B.S, M.Sc, and PhD (first honor) in Electrical Engineering. He began working as a Post-doc and part-time faculty member at Budapest University of Technology, Budapest, Hungary in 2015, and subsequently started constructing various solar power plants in 2017. He then joined Ardabil Science and Technology Park as Head of International Relations. From 2019 to 2023, he successfully oversaw the construction of over 250 solar power plants, varying in size from small to large scale. In 2019, he joined Nazarbayev University as a research fellow until 2023. In 2024, he stablished an institute in energy field in Iran, and currently is a head of this institute. Dr. Abedinia also serves as an Editor for several international journals. He has published over 120 articles and books in various high-ranking journals and conferences with 3976 citations in google scholar and 32 h-index. His research interests include Optimization, Machine Learning, Power System Operations and Forecasting. He is Editor in different journals such as Complexity and guest editor in Energies. His interest areas are Operation in Power systems, Forecasting, Optimization Methods, Energy Management and Sustainable Energy.
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Prof. Dr. Mohan Lal Kolhe

Faculty of Engineering and Science of the University of Agder, Norway

Biography: Prof. Dr. Mohan Lal Kolhe is a full professor in smart grid and renewable energy at the Faculty of Engineering and Science of the University of Agder (Norway). He is a leading renewable energy technologist with three decades of academic experience at the international level and previously held academic positions at the world's prestigious universities, e.g., University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc. In addition, he was a member of the Government of South Australia’s first Renewable Energy Board (2009-2011) and worked on developing renewable energy policies.

Professor Kolhe is an expert evaluator of many prestigious international research councils (e.g., European Commission: Erasmus+ Higher Education – International Capacity Building, Royal Society London (UK), Engineering and Physical Sciences Research Council (EPSRC UK), Cyprus Research Foundation, etc.). In addition, many international organizations have invited him to deliver keynote addresses, expert lectures, workshops, etc. He has also been a member of many academic promotional committees.

Professor Kolhe has successfully won competitive research funding from the prestigious research councils (e.g., Norwegian Research Council, EU, EPSRC, BBSRC, NRP, etc.) for his work on sustainable energy systems. His research works in energy systems have been recognized within the top 2% of scientists globally by Stanford University’s 2020, 2021 matrices. He is an internationally recognized pioneer in his field, who’s top 10 published works have an average of over 175 citations each.
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Biography: Dr Syed Abdul Rehman Khan is an expert of Supply Chain and Logistics Management. Dr Khan achieved his CSCP—Certified Supply Chain Professional certificate from the U.S.A. and completed his postdoctoral fellowship from Tsinghua University.

Dr Khan is a Professor of Logistics and Supply Chain Management. He has more than twelve years’ core experience of supply chain and logistics at industry and academic levels. He has attended several international conferences and also has been invited as a keynote speaker in different countries. He has published more than 110+ scientific research papers in different well- renowned international peer-reviewed journals (SSCI/SCI and ABS listed) and conferences, including couple of research paper indexed in Essential Science Indicators (ESI). Dr Khan is the authored of three books related to the sustainability in supply chain and business operations. He is a regular contributor to conferences and workshops around the world.

Also, Dr Khan holds memberships in the following well-renowned institutions and supply chain bodies/associations: APCIS-U.S.; Production and Operation Management Society, India; Council of Supply Chain Management of Professionals U.S.; Supply Chain Association of Pakistan; and Global Supply Chain Council China.