Topic: AI-Driven Innovations in Demand Side Management for a Sustainable Energy Future
Introduction: This special session explores the transformative potential of artificial intelligence in enhancing demand side management (DSM) strategies. By leveraging AI techniques such as machine learning, predictive analytics, and optimization algorithms, DSM can be revolutionized to achieve greater energy efficiency, grid stability, and sustainability. The session invites contributions focusing on AI-driven forecasting of energy demand, personalized load management, real-time demand response systems, and the integration of renewable energy sources in DSM frameworks. Additionally, it will delve into case studies, innovative tools, and challenges in deploying AI for DSM in diverse sectors, including residential, commercial, and industrial domains. This session aims to foster interdisciplinary collaboration and uncover cutting-edge solutions for a resilient and low-carbon energy future.
Submission Link: http://confsys.iconf.org/submission/pree2025
Organizer: Ren-Shiou Liu, National Cheng Kung University (NCKU), Taiwan
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Ren-Shiou
Liu received his B.S. and M.S. degrees from
National Chiao Tung University (NCTU), Taiwan,
in 1996 and 2000, respectively, and earned his
Ph.D. from The Ohio State University, USA, in
2010. He is currently an Associate Professor in
the Department of Industrial and Information
Management at National Cheng Kung University
(NCKU), Taiwan. |