There are many strategic advantages to using data. Data often present methodological challenges due to their complex nature or structure, their large size, their degree of confidentiality or even sometimes their scarcity or poor quality. This line of research focuses on the design of mathematical, statistical and machine learning tools for processing, analyzing and modeling data for descriptive, predictive and prescriptive purposes.
Cahiers du GERAD
Data-driven sustainable distributed energy resources' control based on multi-agent deep reinforcement learning
With the ongoing energy transition, electric power and energy systems are becoming increasingly multi-dimensional and complex with higher levels of uncertain...BibTeX reference
Thermostatically-controlled loads have a significant impact on electricity demand after service is restored following an outage, a phenomenon known as cold l...BibTeX reference
Training image free high-order stochastic simulation based on aggregated kernel statistics
A training-image free, high-order sequential simulation method is proposed herein, which is based on the efficient inference of high-order spatial statistics...BibTeX reference
Rahul Jain – University of Southern California