Hydropower Generation in the Age of Climate Change: Leveraging Causal AI
The talk will explore the intricate and dynamic nature of hydropower generation systems, and the challenges arising from variable renewable energy resources and climate change that can introduce significant uncertainty and complexity into conventional hydropower scheduling tools. Our team has developed state-of-the-art hydropower scheduling tools that leverage artificial intelligence techniques to optimize water resource management, resulting in enhanced efficiency and effectiveness of hydropower plant operations. Specifically, we will present our latest research outcomes on Causal AI-based hydropower inflow forecasting algorithms that utilize hydrological and meteorological data to account for spatiotemporal interdependencies among various reservoirs' inflow and water capacity in cascaded water catchments. Attendees will gain insights into our collaboration with Norwegian Hydropower producers and the real-life use cases that demonstrate the potential of our solution to address the pressing challenges of hydropower generation.
Date and Time
Location
Hosts
Registration
- Date: 28 Apr 2023
- Time: 10:00 AM to 11:00 AM
- All times are (UTC+02:00) Vienna
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- Giefinggasse 2
- GG4_F1_M4, Wien
- Austria 1210
- Building: TECHbase
- Room Number: GG2_F4_M2
- Contact Event Hosts
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Privatdoz. Dipl.-Ing. Dr. THOMAS I. STRASSER
Senior Scientist
Electric Energy Systems
Center for EnergyAIT Austrian Institute of Technology GmbH
Giefinggasse 2 | 1210 Vienna | Austria
thomas.strasser@ait.ac.at | www.ait.ac.at - Co-sponsored by AIT Austrian Institute of Technology GmbH
- Starts 25 April 2023 12:00 PM
- Ends 28 April 2023 09:00 AM
- All times are (UTC+02:00) Vienna
- 9 in-person spaces left!
- No Admission Charge
Speakers
Prof. Reza Arghandeh of Western Norway University of Applied Sciences, Bergen, Norway and Lead Data Scientist, StormGeo AS, Norway
Biography:
Dr. Reza Arghandeh is currently the Director of the Connectivity, Information & Intelligence Lab (Ci2Lab.com) and leads the Data Science Group at Western Norway University of Applied Sciences (HVL) in Bergen, Norway. He also serves as the Lead Data Scientist at StormGeo, an international company providing weather insights. In addition, he is a Research Professor in the Electrical and Computer Department at Florida State University. Prior to this, he worked as an Assistant Professor at FSU from 2015 to 2018 and a Postdoctoral Scholar at the EECS Department of the University of California, Berkeley, from 2013 to 2015. Prof. Arghandeh earned his Ph.D. in Electrical Engineering from Virginia Tech. His research interests focus on artifactual intelligence and causal inference applications for infrastructure networks, with a particular emphasis on electric grids. His research has been funded by prestigious organizations such as the U.S. National Science Foundation, the U.S. Department of Energy, the European Space Agency, the European Commission, and the Research Council of Norway.
Address:Bergen, Norway
Media
| Presentation | Presention slides | 4.22 MiB |