Website:https://ais.cn/u/yyQj6r
Contact Person - May Chen
Event inquiry /Organizer email address - icsgge@163.com
Organized by: School of Information Systems and Technology Management
Topic Covered: Engineering, Energy Efficiency, Smart Technology, Green Technology
Venue: Sydney , Australia
Call for Papers 4th International Conference on Smart Grid and Green Energy ICSGGE 2025 February 28th – March 2nd, 2025 University of New South Wales, Sydney, Australia Technically Co-sponsored by IEEE & IEEE New South Wales Section Organizer: School of Information Systems and Technology Management, UNSW Co-organizers: Hainan Institute of Zhejiang University, Sanya Global Energy Research Institute, AEIC Academic Exchange Information Center Media Supporter: Official Website: https:ais.cnuyyQj6r The University of New South Wales is honored to host the 4th International Conference on Smart Grid and Green Energy ICSGGE 2025. Set against the backdrop of vibrant Sydney, Australia, this prestigious conference invites researchers, scientists, engineers, and scholars from around the world to converge for an enriching exchange of insights from February 28th to March 2nd, 2025. Objective: ICSGGE 2025 aims to serve as a distinguished platform for the presentation and discussion of innovative research in the domains of Smart Grid and Green Energy. We are dedicated to fostering a collaborative environment that promotes the exchange of experiences, pioneering ideas, and practical solutions to challenges faced in the evolution of sustainable energy systems. Call for Contributions: We invite the submission of original research papers, case studies, and reviews that address various aspects of Smart Grid and Green Energy, including but not limited to: Advanced smart grid systems, technologies, and methodologies Renewable energy integration and energy storage solutions Energy efficiency and demand-side management Power system management, control, and stability Sustainable and intelligent energy policies Cybersecurity and privacy in smart grid technologies Data analytics and machine learning applications in energy systems Emerging trends in green energy and smart infrastructure Submission Guidelines: Authors are invited to submit manuscripts electronically in accordance with the guide