Research

Contact Banner
project thumbnail

Energy Transition

Towards a robust integrated resource planning framework for low-carbon electricity systems operating under uncertainty in demand growth, technology costs, and weather-dependent generation. This research integrates capacity expansion planning, production cost simulation, planning reserve margin estimation, capacity credit evaluation, and resource adequacy assessment to characterize how investment and operational decisions jointly shape power system reliability. Such analysis is increasingly critical in capacity markets, where accurately quantifying reliability contributions is essential to ensuring adequate revenue for investment recovery in low-carbon power systems.
project thumbnail

Day-Ahead Scheduling and Operating Reserves

Improving probabilistic day-ahead energy forecasts by integrating numerical weather predictions with AI/ML models, and reducing the computational complexity of stochastic unit commitment and economic dispatch models through scenario selection to mitigate energy curtailment, load shedding, and price volatility. The goal is to dynamically determine operating reserve requirements by quantifying forecast uncertainty, thereby supporting ancillary service procurement and headroom allocation in unit commitment decisions.
project thumbnail

Energy Meteorology

Fusing information from multispectral sky imagers and weather sensors using computer vision and AI/ML models to improve solar generation nowcasting and coordinate real-time frequency response under cloud-driven irradiance variability. Rapid solar ramps caused by passing clouds create power imbalances that challenge grid reliability. This research develops sensing and forecasting technologies that provide decision support during solar ramps, enabling more efficient deployment of balancing reserves and frequency response resources. This work is built on the Girasol Machine, a custom multi-exposure visible-light and far-infrared sky imaging system, together with a public benchmark dataset that supports the development and validation of these forecasting methods.