Karunamoorthy

This session explores the integration of Artificial Intelligence (AI) in wind power generation to enhance efficiency, reliability, and sustainability. AI technologies, such as machine learning and predictive analytics, optimize turbine performance by analyzing real-time data on wind speed, direction, and environmental conditions. These insights enable predictive maintenance, fault detection, and dynamic control, reducing downtime and operational costs. The session highlights advancements in AI-driven forecasting for accurate energy production planning and the role of intelligent algorithms in maximizing renewable energy output. Attendees will gain insights into how AI is transforming wind power into a more efficient and resilient energy source.

Address:Wind plus Pvt Ltd,, , Coimbatore, Tamil Nadu, India

Dr.Venkatesh Kumar

This session delves into the transformative role of Machine Learning (ML) in advancing Electric Vehicle (EV) technologies. ML enhances EV performance and efficiency by enabling intelligent energy management, battery optimization, and predictive maintenance. Applications include real-time route optimization, adaptive cruise control, and accurate state-of-charge and state-of-health estimations for batteries. Additionally, ML aids in improving autonomous driving capabilities, driver behavior analysis, and integration with smart grids for efficient charging. The session provides insights into cutting-edge research and practical implementations of ML in EVs, showcasing how these technologies are shaping the future of sustainable transportation.

Biography:

Vice chairman, Power and Energy Society, Madras Section

Mr. Ganesh Nagarajan

This session explores the latest trends and emerging technologies shaping the development of Electric Vehicles (EVs). It covers advancements in battery technologies, including solid-state batteries and fast-charging solutions, which are driving improvements in energy density and charging efficiency. The session also highlights innovations in power electronics, lightweight materials, and electric drivetrains that enhance vehicle performance and sustainability. Emerging trends such as vehicle-to-grid (V2G) integration, autonomous EVs, and connected mobility solutions are discussed, showcasing their impact on the EV ecosystem. Attendees will gain insights into cutting-edge developments and future directions in the rapidly evolving EV industry.

Biography:

Technologist,

Royal Enfield, Chennai.

Dr.P.S.Kannan,

This session focuses on the effective utilization of solar energy through the implementation of innovative DC microgrid units. It highlights the advantages of DC microgrids in reducing energy conversion losses and improving the efficiency of solar power systems. The discussion includes advanced techniques for integrating solar photovoltaic systems with energy storage solutions and load management. Key aspects such as real-time energy monitoring, decentralized power distribution, and smart grid integration are explored. Attendees will gain insights into how DC microgrids can revolutionize solar energy utilization, fostering sustainable and efficient energy solutions for residential, commercial, and industrial applications.

Biography:

Professor (Rtd),Thiagarajar College of Engineering, Madurai