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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.15.20//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251129T110000
DTEND;TZID=Asia/Hong_Kong:20251129T120000
DTSTAMP:20260511T143743
CREATED:20251112T082828Z
LAST-MODIFIED:20251112T082828Z
UID:113878-1764414000-1764417600@ece.hku.hk
SUMMARY:RPG Seminar – Generative AI-empowered Time Series Synthesis in Smart Grids
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/94936719507?pwd=ceXhzS1htWuwj8oG0vJGQLS3JMpVwF.1 \nAbstract\nThe reliable operation and strategic planning of smart grids are critically dependent on high-fidelity time series data. However\, the increasing stochasticity of both energy supply and demand challenges conventional analytical methods\, exacerbated by potential extreme scenarios. This research posits Generative Artificial Intelligence (AI) as a transformative approach\, empowering not only the synthesis of realistic load/renewable energy time series\, but also their conditional generation for predictive analysis. This seminar will go through time series generation on both the supply and demand sides\, and then investigate the refinement for the generated data. Finally\, a Python library\, GenTS\, is constructed to provide a unified framework for benchmarking generative time series models under various tasks. \nSpeaker\nMr. Chenxi Wang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nChenxi Wang received the B.S. degree in Electrical Engineering from South China University of Technology in 2022. He is currently pursuing the Ph.D. degree in electrical and electronic engineering with the University of Hong Kong. His current research interests include time series analytics and generative AI in smart grids. \nOrganiser\nProf. Yi Wang\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251129/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251129T140000
DTEND;TZID=Asia/Hong_Kong:20251129T143000
DTSTAMP:20260511T143743
CREATED:20251112T083533Z
LAST-MODIFIED:20251112T083533Z
UID:113881-1764424800-1764426600@ece.hku.hk
SUMMARY:RPG Seminar – On the Understanding of Uncertainty in Load Forecasting
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/92603659701 \nAbstract\nIn the context of digital transformation of the energy system\, how to effectively manage and quantify the uncertainty in forecasting has become a key bottleneck that restricts its reliable operation. This report will introduce our systematic work in the field of probabilistic load forecasting\, dedicated to addressing this core challenge. Our research establishes a complete solution around uncertainty\, covering three key aspects: firstly\, data preprocessing\, aimed at reducing the uncertainty of raw data; Next is model construction\, which precisely quantifies the uncertainty of predictions through innovative deep learning models; Finally\, the model explanation provides a unified and clear explanation framework for the probabilistic forecasting model of the “black box”. Through this series of studies\, we have not only significantly improved forecasting accuracy\, but also developed an open-source toolkit aimed at promoting the practical application of high reliability load forecasting technology in future energy systems. \nSpeaker\nMr Zhixian Wang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nZhixian Wang received the B.S. degree in Statistics from The University of Science and Technology of China in 2022. He is currently pursuing the Ph.D. degree in electrical and electronic engineering with the University of Hong Kong. His current research interests include application of AI techniques in power data analytics. \nOrganiser\nProf. Yi Wang\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251129-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20251129T143000
DTEND;TZID=Asia/Hong_Kong:20251129T150000
DTSTAMP:20260511T143743
CREATED:20251120T032427Z
LAST-MODIFIED:20251120T032427Z
UID:114026-1764426600-1764428400@ece.hku.hk
SUMMARY:RPG Seminar – Trustworthy data sharing in power systems via blockchain
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/99852061481?pwd=QAsfylVs3cR4U1q4B4fczaBQpbyzKl.1 \nAbstract\nWith the digitalization of smart grids\, data becomes vital for advanced applications like load forecasting\, energy management\, and demand response. To unlock its full potential\, the critical challenge becomes how to build a trustworthy data-sharing framework for diverse stakeholders. Blockchain stands out as a promising solution. In this report\, we introduce a comprehensive framework to support both direct and implicit sharing methods via blockchain. For direct sharing\, we introduce a blockchain based searchable encryption for secure data retrieval from the cloud. For implicit sharing\, we propose a blockchain assisted federated framework to achieve collaborated training. To realistically deploy blockchain within existing infrastructure\, an optimization approach for node deployment is proposed to ensure practical implementation. Through this series of framework constructions\, we demonstrate the significant potential of blockchain applications in building a secure and efficient data-sharing ecosystem for the next generation of smart grids. \n  \nSpeaker\nMr. Ruiyang Yao\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nBiography of the Speaker\nRuiyang Yao received the integrated master’s degree in mathematics from University of Oxford in 2021. He received the MSc in computing from Imperial College London in 2022. He is currently pursuing the Ph.D. degree in electrical and electronic engineering with the University of Hong Kong. His current research interests include trustworthy data sharing in power systems. \nOrganiser\nProf. Yi Wang\nDepartment of Electrical and Electronic Engineering\, The University of Hong Kong \nAll are welcome.
URL:https://ece.hku.hk/events/20251129-3/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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