On July 17 and 18, you’re invited to a workshop on RAVEN at CAES. RAVEN is a versatile stochastic analysis platform that helps users manage uncertainties, learn from data, optimize system performance, and improve simulation-based analyses. It lets you create custom workflows to test and analyze simulation models under different conditions using advanced statistics, machine learning, and AI. It works on various computers, from laptops to powerful clusters, and can be easily combined with other simulation software.
Learn more about the RAVEN software at https://github.com/idaholab/raven/wiki
Register to attend the workshop at https://iaea.inl.gov/Page/Registration/RAVEN
Hourly Schedule
Day 1 - July 17, 2024
- 8:30am - 9:20am
- Overview and Installation Support
- Diego Mandelli, Joshua Cogliati, and Congjian Wang
- 9:20am - 10:10am
- Input Structures and Calculation Flows
- Diego Mandelli
- 10:10am - 10:20am
- Break
- 10:20am - 11:00am
- Machine Learning Models, External Models and Codes
- Diego Mandelli
- 11:00am - 12:00pm
- Forward Sampling (with Hands-on Exercises)
- Paul Talbot
- 12:00pm - 12:20pm
- Break
- 12:20pm - 1:00pm
- Holistic Energy Resource Optimization Network (HERON/RAVEN)
- Paul Talbot
- 1:00pm - 2:30pm
- Advanced Sampling (with Hands-on Exercises)
- Paul Talbot and Congjian Wang
- 2:30pm - 2:40pm
- Dynamic System Scaling
- Ramon Yoshiura
- 2:40pm - 3:30pm
- Causal Inference and Causal Discovery
- Ronald Gonzales
- 3:30pm - 4:30pm
- Bayesian Inference
- Congjian Wang
Day 2 - July 18, 2024
- 8:30am - 9:20am
- RAVEN Code Interfaces
- Paul Talbot
- 9:20am - 10:20am
- Genetic Algorithms Optimization Part I (with Hands-on Exercises)
- Mohammad Abdo and Junyung Kim
- 10:20am - 10:30am
- Break
- 10:30am - 11:30am
- Genetic Algorithms Optimization Part II (with Hands-on Exercises)
- Mohammad Abdo and Junyung Kim
- 11:30am - 12:00pm
- Multi-Objective Optimization
- Mohammad Abdo and Junyung Kim
- 12:00pm - 12:20pm
- Break
- 12:20pm - 1:00pm
- Risk Analytics Toolkit for Risk-Informed Asset Management (SR2ML/LOGOS/RAVEN)
- Diego Mandelli
- 1:00pm - 2:30pm
- Reduced Order Modeling (with Hands-on Exercises)
- Diego Mandelli and Congjian Wang
- 2:30pm - 3:00pm
- Time Series Analysis
- Paul Talbot
- 3:00pm - 3:10pm
- Break
- 3:10pm - 3:45pm
- Ensemble and Hybrid Modeling
- Diego Mandelli
- 3:45pm - 4:20pm
- Advanced Data Mining
- Diego Mandelli
- 4:20pm - 5:00pm
- Sparse Sensing for Sensor Location Optimization
- Mohammad Abdo
