57 citations · 289 across the 59 of their papers we have counts for
31 papers · 1 filter
Scheduling the Charge of Temporally Flexible Electric Vehicles: a Market-based Approach
Sabri El Amrani, Thibaut Horel, Saurabh Vaishampayan +2
The increasing electrification of human activities and the rapid integration of variable renewable energy sources strain the power grid. A solution to address the need for more gri…
Learning clusters of partially observed linear dynamical systems
Maryann Rui, Munther A. Dahleh
We study the problem of learning clusters of partially observed linear dynamical systems from multiple input-output trajectories. This setting is particularly relevant when there a…
Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates
Grant Ruan, Munther A. Dahleh
The battery performance and lifespan of electric vehicles (EVs) degrade significantly in cold climates, requiring a considerable amount of energy to heat up the EV batteries. This…
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
Maryann Rui, Munther Dahleh
We study the problem of learning mixtures of linear dynamical systems (MLDS) from input-output data. The mixture setting allows us to leverage observations from related dynamical s…
Incentive Design for Eco-driving in Urban Transportation Networks
M. Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh +2
Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of ince…
Data-driven control of COVID-19 in buildings: a reinforcement-learning approach
Ashkan Haji Hosseinloo, Saleh Nabi, Anette Hosoi +1
In addition to its public health crisis, COVID-19 pandemic has led to the shutdown and closure of workplaces with an estimated total cost of more than $16 trillion. Given the long…