Hirohito Yamada received his B.E. degree in electronics engineering from Kanazawa University, Japan in 1981, and his M.E. and Ph.D. degrees in electronics engineering from Tohoku University, Japan in 1983 and 1987, respectively. In 1987, he joined NEC Corporation, where he conducted research on semiconductor lasers and Si nano-photonic devices for optical fiber communication systems. In 2006, he became a professor at Tohoku University, where he has been dedicated to teaching communication engineering and researching photonic integrated devices. Following the Great East Japan Earthquake in 2011, he expanded his research to include solar power generation and DC microgrids. He even built an off-grid house and has lived without purchasing electricity from the utility company for over eight years. Although he retired from Tohoku University in March 2024, he still continues his research on autonomous decentralized cooperative controlled microgrids at the International Research Institute of Disaster Science (IRIDeS), Tohoku University, from April onwards.

Qi Li (Senior Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from the Southwest Jiaotong University, Chengdu, China, in 2006 and 2011, respectively.,Currently, he is a Full Professor with the School of Electrical Engineering, Southwest Jiaotong University. From 2009 to 2011, he was a Visiting Scholar with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include fuel cell optimal control, distributed power generation, and optimization and control of integrated energy systems.,Prof. Li is a fellow of IET. He was nominated as the Subcommittee Chair of the Technical Committee on Transportation Electrification of the IEEE Industrial Electronics Society in 2019. He is an Associate Editor of IEEE Transactions on Industrial Electronics, IEEE Transactions on Transportation Electrification, and CSEE Journal of Power and Energy Systems.

Dalila Mat Said is an Associate Professor at the Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), where currently holds the position of Chair Resource Sustainability Research Alliance, Department of Deputy Vice-Chancellor (Research and Innovation) UTM. She is a Professional Engineer registered with the Board of Engineers Malaysia (BEM), Registered Electrical Energy Manager certified under the Energy Commission, Certified Professional Measurement and Verification and Certified Energy Manager registered with the ASEAN Energy Management Scheme (AEMAS). She received her B.Eng, M.Eng, and PhD degrees in electrical engineering from UTM in 2000, 2003, and 2012, respectively. She was involved in power quality consultancy for over 15 years and was an energy auditor for the commercial and industrial sectors. She is a senior member of the Institute Electrical Electronic Engineer (SMIEEE), IEM graduate member as well as a Professional Technologist registered with the Malaysian Board of Technologies. Her research interest is on power quality, power system measurement and monitoring, electrical energy management, renewables energy and smart agriculture technologies.

Achara Pichetjamroen is an Assistant Professor at the Faculty of Electrical Engineering, Kasetsart University, Thailand, where she also serves as the Program Director for the AI and IoT Master's program. She received her Ph.D. in Engineering from Osaka University, Japan, in 2016. She also holds an M.Eng. from King Mongkut's Institute of Technology Ladkrabang (KMITL) in 2009 and a B.Eng. (First Class Honors) from the same institution in 2006. Her research interests include power electronics in power systems, with a focus on renewable energy integration and energy storage technologies.

Dr Xinggang Yan received his BSc degree from Shaanxi Normal University, in 1985, MSc degree from Qufu Normal University in 1991, and PhD degree in Control Engineering from Northeastern University, P. R. China in 1997. Currently, he is a Senior Lecturer in the University of Kent, United Kindom.
He worked as a Research Fellow/Research Associate in the University of Leicester, United Kingdom, Nanyang Technological University, Singapore, the University of Hong Kong, China and Northwestern Polytechnical University, China.
He was awarded as outstanding Chief-Editor of the Journal of Electronics & Information Systems by Bilingual Publishing Co in 2022. He received the Best Application Paper Award of ASian Control Conference (ASCC) in Fukuoka, Japan in 2019.
He serves as the member of the Editorial Board of several engineering journals including IET Control Theory & Applications, Journal of the Franklin Institute, Complexity, Energies and Mathematics Problems in Engineering etc. and a member of TPC for a number of international conferences.
His research interests include sliding mode control, decentralised control, fault detection and isolation, and time delay system with applications. He has published three books, six invited book chapters and over 200 referred papers in these areas.

Yue Xiang received the B.S. and Ph.D. degrees from Sichuan University, China, in 2010 and 2016, respectively.,From 2013 to 2014, he was a Joint Ph.D. Student with the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA, a Visiting Scholar with the Department of Electronic and Electrical Engineering, University of Bath, U.K., in 2015, and also a Visiting Researcher with the Department of Electrical and Electronic Engineering, Imperial College London, U.K., from 2019 to 2020. He is currently a Full Professor with the College of Electrical Engineering, Sichuan University. His main research interests are distribution network planning and optimal operation, power economics, electric vehicle integration, and smart grids.

Dr. Muhammad Waseem is an Assistant Professor in Business Analytics at Maynooth University’s School of Business. His research spans sustainable energy systems, AI/ML, and data-driven decision support, with a focus on demand response, prosumer flexibility, EV integration, and digital-twin–enabled optimization for communities and microgrids. Previously, he was a Marie Skłodowska-Curie Research Fellow at Maynooth University (IVI/Lero, SYMECO project) and a Postdoctoral Fellow at The Hong Kong Polytechnic University, with earlier research and teaching roles linked to Zhejiang University and UET Taxila.
Dr. Waseem has authored and co-authored papers across IEEE, Elsevier, and IET venues and has presented at international conferences including AUPEC, UPEC, KPEC, and iSPEC. His recognitions include an Academic Research Excellence Award at Zhejiang University and inclusion among the 2024 “Top 2% Scientists” in the energy field. He regularly serves as a reviewer for leading journals and collaborates with industry and public-sector partners to translate research into deployable solutions that enhance resilience, reduce emissions, and support community energy transitions.
Speech Title: Forecast → Optimize → Trade: Data-Driven Community Energy under Dynamic Tariffs
Short-term PV/load forecasting feeds an optimization layer for battery energy storage (BESS), and finally a market layer where homes trade power under dynamic tariffs. I’ll show why a Bi-Directional LSTM outperforms other tested architectures for forecasting, how a MILP scheduler translates predictions into charge/discharge actions, and how a simple auction with slot-level dynamic prices turns surplus into earnings. We’ll discuss comfort/resilience via SOC management, evidence that cumulative earnings can exceed costs, and why dynamic tariffs boost exports and raise average SOC across households.