Intern, Electricity Market Optimization & Price Forecasting

Your Mission:

• Assist in the development and refinement of optimization models for energy storage dispatch and trading, incorporating electricity market rules and operational constraints from CAISO and/or ERCOT.
• Support formulation of stochastic, robust, or mixed-integer programming models to optimize physical and financial trading positions across market products (energy, ancillary services, capacity).
• Assist in developing or enhancing time-series forecasting models for electricity prices leveraging modern ML/statistical approaches.

Your Background:

• Pursuing a MS or PhD program in Electrical Engineering, Operations Research, Computer Science, Applied Mathematics, or a closely related field.
• Strong background in at least one of the following: Optimization methods (mixed-integer, stochastic, robust, or convex optimization) with applications to electricity market problems such as SCED, battery dispatch, or energy trading; or Time-series forecasting applied to energy systems (electricity price, load, or renewable generation forecasting).
• Proficiency in Python is required