Veena Madavanathara Narayanan

Flexible Funding Awardee

Veena Madavanathara Narayanan is a PhD researcher and Special Lecturer in Electrical Engineering at Teesside University. Her research focuses on AI-driven energy management for microgrids, with an emphasis on improving grid support through predictive, data-driven approaches. She works specifically on electric vehicle charging and discharging integrated with photovoltaic systems, developing models that support flexible and efficient energy use. She applies machine learning techniques, including LSTM-based forecasting, within real-time energy management systems to enhance reliability, adaptability, and operational decision-making. Her research interests include the interaction between renewable generation, electric vehicle demand, and battery storage within smart energy systems. Veena has presented her work at conferences and workshops and actively engages with international academic audiences to advance data-driven energy solutions. She aims to bridge the gap between prediction and practical control, contributing to more responsive and resilient energy systems. She is also Chair of the Teesside University Energy Society, where she leads industry engagement through workshops, site visits, and collaborative initiatives in sustainable energy.