Date and time: 15. January 2025 at 13.00-17.00
Place: Dipoli (Klondyke) + Teams
Registration for the event is closed.
Welcome to the founding event of the FCAI-SIG on AI for Energy. As the energy sector undergoes significant transformations, AI technologies are emerging as key drivers of innovation, enabling more efficient, sustainable, and intelligent energy systems. This SIG aims to provide a collaborative platform for members to explore a wide range of AI applications in energy. Through regular seminars and discussions, we will promote collaboration and share insights on how AI can help tackle the most pressing challenges in modern energy systems.
Schedule:
13.00–13.10 Coffee
13.10–13.25 Simo Särkkä & Zhengmao Li: Introduction
13.25–13.35 Marko Hinkkanen: Physics-Informed Machine Learning In The Context Of Energy Conversion Devices (Their Modeling And Control)
13.35–13.50 Davor Stjelja: Scalable and Robust Machine Learning Solutions for Adaptive Building Operations
13.50–14.10 Pedro Nardelli：AI-based virtual micro-grids via software-defined energy networks (Teams)
14.10–14.30 Mohammad Seyfi: AI-Powered Energy Solutions for Smart Homes
14.30–14.45 Zhengmao Li: Multi-stage real-time operation of a multi-energy microgrid with electrical and thermal networks by deep reinforcement learning
14.45–15.05 Coffee and discussion
15.05–15.15 Laura Ruotsalainen: Opening Talk
15.15–15.35 Yaolin Xu: Ageing Mechanisms vs Cycling Protocols of Rechargeable Batteries
15.35–15.55 Rofice Dickson: Sustainable process design and analysis of advanced decarbonization technologies
15.55-16.15 Peter D. Lund: Ultra short-term solar photovoltaic power forecasting using advanced deep-learning approach
16.15–16.25 Haji Ahmed Faqeer: Smart operation of Multi-Energy Industrial Microgrid Hydrogen Driven Steel Plants via Safe Deep Reinforcement Learning
16.25–16.40 Xueyong Jia: Online Operation of Green Multi-energy system via Safe deep reinforcement learning (online)
16.40-17.00 Coffee and discussion
Event Organizers: Zhengmao Li, Simo Särkkä and Xueyong Jia