The company is looking to improve its power dispatch modeling capabilities to make more accurate investment decisions.
Requirements
- 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)
- Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets
- Experience using SQL and timeseries databases
- Proficiency in Python and Git
- Additional experience with an OOP language a strong plus
- Domain knowledge in ERCOT, PJM, or CAISO preferred
Responsibilities
- Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs
- Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing
- Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios
- Formulate and build a power dispatch model using Python and a commercial solver
- Ensure the model replicates grid operations from historical conditions
- Suggest model improvements to decrease forecast error and improve scenario handling
- Regularly run the model and maintain up-to-date outputs in an internal database
Other
- Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field
- Communicating the model’s results and limitations to the wider investment team
- Communicate results and limitations to the wider investment team, including publishing results to team dashboards
