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The emission reduction targets for NO and CO2 set by COP21 and the Paris Agreement demand a profound transformation in societal lifestyles and production methods. One key shift is the adoption of Electric Vehicles (EVs). However, the electrification of transportation presents multiple technical and technological challenges for the road, energy, and automotive industries. Among these challenges is the development of a robust charging infrastructure to support the growing fleet of electric vehicles. In this context, MicroGrids and SmartGrids, which can function independently or alongside the main grid respectively, play a crucial role. Their primary goal is to balance energy production and consumption while maintaining all operational parameters within acceptable limits. Especially those that integrate both Alternating Current (AC) and Direct Current (DC) systems, offer a promising solution. They facilitate the integration of EVs, distributed renewable energy sources, storage systems, and modern energy loads. These SmartGrids will need to effectively manage the variability of renewable sources and energy demands, including those from EVs, leveraging the latter to balance the former. Studying the management and control of these DC and AC MicroGrids is therefore essential, especially with regard to the potential for utilizing the DC grid to supply auxiliary services to the AC one.

• Organizers:
  1. Dr. Asma ACHNIB - (asma.achnib@univ-eiffel.fr)
  2. Dr. Gilney Damm - (gilney.damm@univ-eiffel.fr)

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Developments in advanced control and advancements in renewable resources highlights the critical importance of DC-DC converters in the efficient management of power from renewable energy sources and in electric vehicles (EVs). As renewable energy becomes more prevalent, these converters play a key role in regulating and converting voltage levels, ensuring that power is effectively distributed across applications such as solar power systems, wind turbines, and microgrids. In the context of EVs, DC-DC converters must be designed to meet specific demands, including high efficiency, reliability, and compactness, which are essential for the performance and sustainability of these systems. Recent advancements in DC-DC converter technology focus on innovative circuit designs and the integration of advanced control strategies, such as Artificial Intelligence (AI), to enhance their performance and adaptability. These innovations have led to more intelligent and efficient power management systems that can optimize operation in real-time, improving the stability and overall effectiveness of energy systems. This session will bring together experts and researchers to discuss these cutting-edge developments, with the goal of advancing DC-DC converter technologies tailored for EV and renewable energy applications, focusing on power circuits, synthesis, mathematical modeling, design, cost optimization, control mechanisms, techno-economic considerations, and more. The session will concentrate on novel developments in DC-DC converters, control strategies, and applications, with the ultimate goal of providing effective and energy-efficient solutions aligned with the sustainable development of renewable energy and electric mobility.

• Organizers:
  1. Dr. Ravi Raushan - (ravi.raushan@nitk.edu.in)
  2. Dr. Dharavath Kishan - (kishand@nitk.edu.in)
  3. Dr. Waseem Ahmad - (waseem@nitk.edu.in)
  4. Dr. Ravi Bhushan - (ravibhushan.ee@nitjsr.ac.in)

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With continuous increase in urbanization, and population growth, leads to escalating resource demands, the cities of tomorrow must integrate advanced cyber-physical systems (CPS) to develop smarter, more sustainable infrastructures. The advanced CPS merges computational, networking and communication, and physical processes to offer transformative solutions for urban planning, infrastructure management, and environmental sustainability. These systems are quite essential for addressing key challenges in areas such as traffic management, energy efficiency, water resource optimization, waste management, and public safety. By leveraging real-time data collection, intelligent algorithms, and interconnected infrastructures, CPS enables cities to become more adaptive, resilient, and responsive. The application of artificial intelligence, machine learning, and the Internet of Things (IoT) within CPS allows for a more seamless and efficient urban environment, improving the quality of life for city dwellers, r educing operational costs, and minimizing environmental impact. Smart infrastructures driven by CPS ensure the dynamic and flexible management of resources while enhancing sustainability. This session will explore the role of CPS in creating smarter, more livable cities by focusing on technological advancements in transport, energy, and healthcare, offering insights into how these systems can foster a secure and sustainable urban future.

• Organizers:
  1. Dr. Sachidananda Sen - (s.sachidananda@sru.edu.in)
  2. Dr. Krishna Murari - (krishna.murari@utoledo.edu)
  3. Dr. Arvind Kumar Prajapati - (arvind.ee@nitjsr.ac.in)

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This special session will mainly focus on the developing panorama in the area of sustainable energy and electric transportation. In particular, how new technologies like AI, hydrogen solutions, and improved battery systems are influencing the future of the power system. As the world is shifting towards the greener systems, there is a pressing necessity to explore the process of integrating the electric vehicles and renewable energy sources with the power grid. Further, Wide-area monitoring and control of power systems play a vital role in ensuring the grid stability and efficiency of the power grids. On the other hand, as there is development in the hydrogen technology it is going to become an important player in energy storage and cleaner transportation. This special session will bring together the experts from different parts of world working in different fields and also provides a platform for conversing pioneering approaches to energy management, electric vehicle infrastructure, and the use of advanced technologies so as to build a resilient and sustainable energy ecosystem. Moreover, the session will shed light on the obstacles and prospects associated with this shift guiding us towards a greener and more sustainable tomorrow.

• Organizers:
  1. Dr. Vedik Basetti - (b.vedik@sru.edu.in)
  2. Dr. Shubhashish Bhakta - (bhaktamelt@gmail.com)
  3. Dr. Harish Pulluri - (harisheee@anurag.edu.in)

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In the recent study, there are significant technical concerns are raised under the reformation of present power system structures in the form of high dependency on heterogeneous generation, non-sustainable development, infrastructure degradation, incompetence and negative impacts on sustainable environment. Under the addressed issue, the present need is to move from early identification of problems towards early addressing of problems at the grassroot level. For this reformation, this proposal for special session named as ‘Renovating Power System Structural form for Sustainable Development Leveraging AI/ML Driven Engineering Innovations’ gives platform on the new innovative ideas that may be established in the form of smart grid technology integration, advanced distribution management system and grid automation driving the concept of Artificial Intelligence and Machine Learning added with data analytics for the reformation of sustainable power systems. These innovative ideas go into the depth of the application areas like optimization of energy flow, betterment of the demand side management and incorporation of renewable energy resources to a greater extent. This issue also gives stress on the deployment of microgrid and minigrid that can offer reliable electricity supply to the unserved and under-served communities. The importance of this proposal can be attributed to its realization of technologies and policies on cybersecurity for a protection against cyber threats, regulatory reforms for improvement on clean energy technologies, and capacity building of an enhance skilled workers. The goal of this session is to discuss a sustainable and secure energy future with focus on technological solutions.

• Organizers:
  1. Dr. Chandan Kumar Shiva - (Chandan.kumar@sru.edu.in)
  2. Dr. Shriram Srinivasarangan Rangarajan - (srshriram.clemson@gmail.com)

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The area of concern in this special session focuses on integrating cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Quantum Computing into modern electrical engineering systems. These advancements are vital for the development of smart grids, renewable energy integration, and efficient energy management. With increasing global demand for sustainable and resilient energy systems, the application of these technologies can significantly enhance the monitoring, control, protection, and optimization of power systems, ensuring reliability, reduced carbon emissions, and overall system efficiency. The session aims to explore innovative approaches and solutions in these areas, contributing to a smarter and more sustainable energy future.

• Organizers:
  1. Dr. Mohamed I. Mossad - (m_i_mosaad@hotmail.com)
  2. Dr. Arvind R. Singh - (arvindsinghwce@gmail.com)
  3. Dr. Ramesh C. Poonia - (info@rameshcpoonia.com)
  4. Dr. Pragathi Bellamkonda - (drbpragathi@mictech.ac.in)

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TThe proposed special session will explore the impact of machine learning (ML) across power engineering, encompassing power electronics, control systems, and broader power system applications in the context of futuristic electrical grids. The power infrastructure is evolving to meet sustainability, resilience, and efficiency challenges while utilizing powerful ML tools to revolutionize the entire energy landscape. Topics in the special session will include advanced control strategies for power electronic converters, predictive maintenance, optimal power flow, load forecasting, demand response, protection and fault diagnosis, enewable energy integration, intelligent energy management for microgrids and smart cities, power market analysis, large renewable integration, and big data analytics for grid monitoring. The session aims to bring together researchers, engineers, and industry professionals from various domains to present their latest findings and observations. By fostering interdisciplinary discussions, we seek to illuminate how ML can address the multifaceted challenges in creating more intelligent, efficient, and resilient futuristic grids.

• Organizers:
  1. Dr. Anand Shankar Hati - (anandashati@iitism.ac.in)
  2. Dr. Altaf Q. H. Badar - (altafbadar@nitw.ac.in)

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The integration of renewable energy and storage technologies is vital for enhancing grid stability and reliability in modern power systems. These resources play a crucial role in improving frequency regulation, voltage control, and load balancing, while enabling the effective incorporation of variable energy sources. At the distribution level, electric vehicles and energy storage systems (ESS) help mitigate intermittency, enhancing demand response and facilitating peak shaving. Moreover, advancements in grid management software and smart technologies optimize the dispatch and coordination of these resources, contributing to a resilient and flexible power infrastructure. At the transmission level, high penetration of renewables necessitates ancillary support to maintain grid stability, particularly due to the reduced system inertia. The session will explore different dimension of renewable and storage penetration effects in strengthening the power system.

• Organizers:
  1. Dr. Rashmi Prasad - (prasadr@nitrkl.ac.in)
  2. Dr. Gururaj MV - (gururajmv@iitk.ac.in)
  3. Dr. Subho Paul - (subho.eee@iitbhu.ac.in)

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The area of concern focuses on the transformative integration of AI, ML, IIoT, control systems, and automation in the power and electrical industries. As global energy demands rise, optimizing power generation, distribution, and management becomes critical. AI/ML techniques enable
intelligent decision-making, predictive maintenance, and efficient system operations, while IIoT enhances real-time data analytics for smarter grid management. Automation supports sustainable energy practices by reducing operational costs and improving efficiency. The transition to renewable energy sources poses challenges in integrating them with traditional grids. This requires advanced control systems and communication protocols to ensure stability and reliability. Smart energy systems, such as smart metering and energy storage solutions, are essential for monitoring consumption and minimizing energy loss. These technological advancements hold significance for addressing the increasing energy demands, reducing environmental impact, and enhancing the overall efficiency and sustainability of power systems.

• Organizers:
  1. Dr. S.M.A.K. Azad - (dean.es@svce.edu.in)
  2. Dr. Kritika Bansal - (kritika.b@vitap.ac.in)
  3. Ms. Saleha Tabbassum - (tabassumeee@gmail.com)
  4. Ms. Deekshitha Arasa - (deekshitha-eee@dayanandasagar.edu)

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The swift adoption of electric vehicles (EVs) has highlighted the urgent requirement for advanced prognostics and health management (PHM) techniques for their electrical components. The functionality, endurance, and safety of EVs depend heavily on these parts, which include batteries, electric motors, power electronics, and charging infrastructure. Frequent charge-discharge cycles, high operating temperatures, and exposure to environmental stresses all contribute to the wear and tear of these components. The challenge is to accurately detect, diagnose, and forecast these electrical components' breakdowns and deterioration to avoid unplanned outages and optimize maintenance plans. PHM is essential to maintaining EVs' dependability, security, and affordability. Evaluating the condition of EV components mostly depends on PHM techniques, such as sensor-based monitoring, data-driven machine learning models, and physics-based methods. The increasing reliance on EVs for environmentally friendly transportation underscores their importance. PHM lowers maintenance costs, boosts user confidence in EV technology, and improves the safety and dependability of EVs. In order to support the shift towards a more robust and sustainable EV ecosystem, this session will bring together industry leaders and researchers to discuss advancements, difficulties, and future directions in this critical domain.

• Organizers:
  1. Dr. Prashant Kumar - (prashantkumar@dgu.ac.kr)
  2. Prof. Vanessa Fernández Cavero - (kritika.b@vitap.ac.in)
  3. Dr. Antonio J. Marques Cardoso - (ajmcardoso@ieee.org)

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The integration of renewable energy sources (RE), electric vehicles (EVs) and power systems is essential to the transformation of the global economy. This session aims to explore the interaction between renewable energy sources, battery storage systems, power electronics and power system in creating resilient and cyber-secure infrastructures. The rapid growth of renewable energy, as well as the increasing acceptance of electric vehicles, present opportunities and challenges in grid management, demand forecasting, and efficient energy use. However, the digital transformation of these systems also increases the vulnerability to cyber-attacks, which can disrupt power systems and compromise grid stability. This session will focus on strategies to ensure cybersecurity in the smart energy ecosystem, discussing ways to mitigate risks and enhance the resilience of power systems. Special attention will be given to the role of power electronics and energy storage in balancing intermittent renewable energy sources and enabling efficient charging solutions for EVs. Integration of IoT technology offers improved monitoring, predictive maintenance and real-time optimization, but also requires robust security frameworks to ensure safe and reliable operations. This interdisciplinary session will bring together researchers, industry experts and policymakers to share insights and innovative solutions to empower the future of energy with safe, resilient and sustainable systems.

• Organizers:
  1. Dr. Subhendu Sekhar Sahoo - (sssahoo@gift.edu.in)
  2. Dr. Basant Kumar Sethi - (bks@eed.svnit.ac.in)

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