J4 AI Applications in the Energy Sector

Monday, 13 January 2025: 4:30 PM-6:00 PM
217 (New Orleans Ernest N. Morial Convention Center)
Hosts: (Joint between the 16th Conference on Weather, Water, Climate, and the New Energy Economy; and the 24th Conference on Artificial Intelligence for Environmental Science )
Cochairs:
Christina E. Kumler, CIRA, Boulder, CO and Charles Jones, University of California, Santa Barbara, Santa Barbara, CA

Papers:
4:30 PM
J4.1
Enhancing the Retrieval Accuracy of Surface Solar Radiation from Meteosat with AI-Based Emulation and Fine-Tuning
Kevin Roy Schuurman, Delft University of Technology, delft, ZH, Netherlands; Bern University of Applied Sciences, Biel, Bern, Switzerland; and A. Meyer

4:45 PM
J4.2
Optimizing Intra-Hour Solar Forecasts with Satellite-Driven Deep Learning Models
Eric P. Grimit, Vaisala, Louisville, CO; and S. Karanko, J. McCaa, and T. Revolinski

J4.3
Integrating Multi-Modal Data to Predict Flooding Impacts on Agriculture and land energy infrastructure.

5:15 PM
J4.4
Estimating High-Resolution Wind Speed Profiles from a Reanalysis Dataset using TabNet: A Transfer Learning Approach
Harish Baki, University at Albany, Albany, NY; and S. Basu

5:30 PM
J4.5
Implementation and Validation of an Offshore-specific Machine Learning Surface Layer Model in WRF
Patrick Hawbecker, NCAR, Boulder, CO; NCAR, Boulder, CO; and S. E. Haupt, PhD, Atmospheric Science, S. M. Dettling, D. J. Gagne II, and B. Kosovic

5:45 PM
J4.6
Floating Wind in a Changing Climate: Linking Metocean Conditions, Control, Reliability, and Grid using Scientific ML
Larry K. Berg, Pacific Northwest National Laboratory, Richland, WA; and J. Fan, K. Smith, S. Abhyankar, T. Douville, J. Drgona, S. Glavaski, K. Johnson, and D. Vrabie

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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