PIMS/FACTS Workshop on Forecasting and Mathematical Modeling for Renewable Energy
The PIMS Workshop on Forecasting and Mathematical Modeling for Climate Change was organized by the PIMS Collaborative Research Group (CRG) on Forecasting and Mathematical Modeling for Renewable Energy. The workshop featured scientific sessions and a public panel discussion on "Tackling Climate Change and the Just Transition to Renewable Energy".
Wednesday, July 26th
Scientific Session 1
- Jan Kleissl (plenary): A Concise Overview on State of the Art Solar Resources and Forecasting
- Jethro Browell: Multivariate forecasting in energy systems with a large share of renewables
- Nina Effenberger: The role of wind speed variability in very long-term wind power forecasts
- Brian Marcus: A Tribute to Bill Aiello
- Aziz Ezzat Ahmet: Offshore wind forecasting and operations for the offshore wind energy areas in the U.S. Mid Atlantic
- Tianxia (Tylar) Jia: Short-term wind forecasting using spatio-temporal covariance models
- Werner Antweiler: Renewable Energy Supply, Electricity Storage, and the Economics of Forecasting
Thursday, July 27th
Scientific Session 2
- René Aïd: (plenary)A Principal-Agent model for optimal Incentives in renewable investments
- Michael Ludkovski: Optimizing Intra-Day Battery Storage Dispatch
- Huyên Pham: Equilibrium price in intraday electricity markets
- Roxana Dumitrescu: Energy transition: a mean-field game approach
Public panel
- Réne Aïd: More electricity demand response for less carbon emissions
- Gaël Giraud: Macroeconomics and Climate
- Seth Klein: Mobilizing Canada for the Climate Emergency
- Judith Sayers: First Nation Leadership in Clean Energy and Climate Action
- Andrew Weaver: Privilege, agency, and the climate scientist’s role in the global warming debate
- Panel Discussion: Tackling Climate Change and the Just Transition to Renewable Energy
Friday, July 28th
Scientific Session 3
- Dennice Gayme: (plenary) Turbulence, wakes and wind farm control
- Joshua Brinkerhoff: Advances in modelling wind-farm blockage effects in thermally-stratified atmospheric boundary layers
- Mike Optis: Simulating Long-Distance Wind Farm Wake Propagation Using Numerical Weather Prediction Models
- Larry Berg: Realistic Coupling of Mesoscale and Microscale Models: Lessons Learned from the US Department of Energy’s Mesoscale-Microscale Coupling Project
- Roland Stull: Operational Numerical Weather Prediction (NWP) of Hub-height Winds for Mountainous British Columbia
- Carsten Abraham: The Canadian regional climate model