Sahand Behboodi


Background information

Specialized in energy system analysis and optimization, particularly demand response, energy markets and grid operation.

Model Usage

Policy Assessment


Models Developed

ModelRegistered as
Interconnection-Wide Hour-Ahead Scheduling in the Presence of Intermittent Renewables and Demand Response: A Surplus Maximizing ApproachModelling project
Renewable Resources Portfolio Optimization in the Presence of Demand ResponseModelling project
Transactive Control of Fast-Acting Demand Response Based on Thermostatic Loads in Real-Time Retail Electricity MarketsModelling project

Models Used

ModelOutputs used
Machine learning models to predict the coincident peak load in AESO,IESO and ISO-NE

Determine the grid peak loads