Auditorium H202 , May 26, 2022, 18h30
In this workshop, we address tools and techniques to address the challenges of energy management in intelligent buildings and local energy markets. Simulation, Multi-Agent systems, and several machine learning and deep learning techniques are used to support an intelligent and secure trading environment where distributed renewable energy sources are of the most importance. Results and case studies from SPET and BENEFICE projects are showcased.
AGENDA:
- 18h30: Isabel Praça: Secure interactions and trusted Participation in local Electricity Trading
- 18h40: Sérgio Ramos: BENEFICE Project presentation
- 18h50: Rui Andrade: Limiting the impact of cyber-attacks in a Multi-agent based simulation of Local Energy Markets
- 19h10: António Gomes: Gestão e otimização de recursos energéticos em conjuntos de edifícios. Estudo de Caso
- 19h20: Sinan Wannous: Energy forecasting as an enabler of security for Industry 5.0
- 19h45: Zahra Foroozandeh: Goal Programming for residential buildings management
- 20h00: Dr. Hoon Ko: Influence of Features on Accuracy of anomaly Detection
- 20h10: Juliana Chaves: Forecasting in Smart Buildings considering Artificial Neural Networks
PHOTOS:
PRESENTATIONS:
| Title | Presenter | Presentation |
|---|---|---|
| Energy forecasting as an enabler of security for Industry 5.0 | Sinan Wannous | Presentation Link |
| Influence of Features on Accuracy of Anomaly Detection | Hoon Ko | Presentation Link |
| Limiting the impact of cyber-attacks in a Multi-Agent based simulation of Local Energy Markets | Rui Andrade | Presentation Link |