120 citations · 194 across the 25 of their papers we have counts for
30 papers
A Generalized Synthetic Control Method for Baseline Estimation in Demand Response Services
Jonas Sievers, Mardavij Roozbehani
Baseline estimation is critical to Demand Response (DR) settlement in electricity markets, yet existing machine learning methods remain limited in predictive performance, while met…
VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting
Adib Hasan, Mardavij Roozbehani, Munther Dahleh
Accurate crop yield forecasting is essential for global food security. However, current AI models systematically underperform when yields deviate from historical trends. We attribu…
WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets
Adib Hasan, Mardavij Roozbehani, Munther Dahleh
This paper introduces WeatherFormer, a transformer encoder-based model designed to learn robust weather features from minimal observations. It addresses the challenge of modeling c…
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
Meshal Alharbi, Mardavij Roozbehani, Munther Dahleh
The problem of sample complexity of online reinforcement learning is often studied in the literature without taking into account any partial knowledge about the system dynamics tha…
A Two-Stage Mechanism for Demand Response Markets
Bharadwaj Satchidanandan, Mardavij Roozbehani, Munther A. Dahleh
Demand response involves system operators using incentives to modulate electricity consumption during peak hours or when faced with an incidental supply shortage. However, system o…
QuickFlex: a Fast Algorithm for Flexible Region Construction for the TSO-DSO Coordination
Luis Lopez, Alvaro Gonzalez-Castellanos, David Pozo +2
Most of the new technological changes in power systems are expected to take place in distribution grids. The enormous potential for distribution flexibility could meet the transmis…