193 citations · 416 across the 36 of their papers we have counts for
43 papers
Stability in stochastic hypergraph matching III: general reneging
Doan Dai Nguyen, Ana Bušić
In many real-life matching problems, waiting agents might abandon before being matched, such as patients deceasing before receiving organs, passengers/drivers cancelling ride reque…
Stability in stochastic hypergraph matching II: weights, batch arrivals, and continuous time
Doan Dai Nguyen, Ana Bušić
Many real-life systems can be found as examples of stochastic matching on hypergraphs, such as production lines or assemble-to-order systems. Two common features are the number of…
Stability in stochastic hypergraph matching I: necessary and sufficient criteria
Doan Dai Nguyen, Ana Bušić
Stochastic matching on hypergraphs is an important topic for its versatility in capturing real-life systems, from living donor transplant to ride-hailing. Nevertheless, finding nec…
On the sub-additivity of stochastic matching
Pascal Moyal, Ana Busic, Jean Mairesse
We consider a stochastic matching model with a general compatibility graph, as introduced in \cite{MaiMoy16}. We prove that most common matching policies (including FCFM, prioritie…
Moment Constrained Optimal Transport for Control Applications
Thomas Le Corre, Ana Busic, Sean Meyn
This paper concerns the application of techniques from optimal transport (OT) to mean field control, in which the probability measures of interest in OT correspond to empirical dis…
A unified framework for coordination of thermostatically controlled loads
Austin Coffman, Ana Bušić, Prabir Barooah
A collection of thermostatically controlled loads (TCLs) -- such as air conditioners and water heaters -- can vary their power consumption within limits to help the balancing autho…
Privacy Impact on Generalized Nash Equilibrium in Peer-to-Peer Electricity Market
Ilia Shilov, Hélène Le Cadre, Ana Bušic
We consider a peer-to-peer electricity market, where agents hold private information that they might not want to share. The problem is modeled as a noncooperative communication gam…
Control oriented modeling of TCLs
Austin R. Coffman, Ana Bušić, Prabir Barooah
Thermostatically controlled loads (TCLs) have the potential to be a valuable resource for the Balancing Authority (BA) of the future. Examples of TCLs include household appliances…
Flexibility can hurt dynamic matching system performance
Arnaud Cadas, Josu Doncel, Jean-Michel Fourneau +1
We study the performance of general dynamic matching models. This model is defined by a connected graph, where nodes represent the class of items and the edges the compatibilities…
Energy Storage Optimization for Grid Reliability
Md Umar Hashmi, Deepjyoti Deka, Lucas Pereira +1
Large scale renewable energy integration is being planned for multiple power grids around the world. To achieve secure and stable grid operations, additional resources/reserves are…
Risk-Averse Equilibrium Analysis and Computation
Ilia Shilov, Hélène Le Cadre, Ana Busic
We consider two market designs for a network of prosumers, trading energy: (i) a centralized design which acts as a benchmark, and (ii) a peer-to-peer market design. High renewable…
Energy storage applications for low voltage consumers in Uruguay
Md Umar Hashmi, Jose Horta, Diego Kiedanski +2
Energy storage can be used for many applications in the Smart Grid such as energy arbitrage, peak demand shaving, power factor correction, energy backup to name a few, and can play…
Towards Phase Balancing using Energy Storage
Md Umar Hashmi, José Horta, Lucas Pereira +3
Ad-hoc growth of single-phase-connected distributed energy resources, such as solar generation and electric vehicles, can lead to network unbalance with negative consequences on th…
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
Shuhang Chen, Adithya M. Devraj, Ana Bušić +1
This paper concerns error bounds for recursive equations subject to Markovian disturbances. Motivating examples abound within the fields of Markov chain Monte Carlo (MCMC) and Rein…
Storage Optimal Control under Net Metering Policies
Md Umar Hashmi, Arpan Mukhopadhyay, Ana Bušić +1
Electricity prices and the end user net load vary with time. Electricity consumers equipped with energy storage devices can perform energy arbitrage, i.e., buy when energy is cheap…
Sizing and Profitability of Energy Storage for Prosumers in Madeira, Portugal
Md Umar Hashmi, Jonathan Cavaleiro, Lucas Pereira +1
This paper proposes a framework to select the best-suited battery for co-optimizing for peak demand shaving, energy arbitrage and increase self-sufficiency in the context of power…
Zap Q-Learning With Nonlinear Function Approximation
Shuhang Chen, Adithya M. Devraj, Fan Lu +2
Zap Q-learning is a recent class of reinforcement learning algorithms, motivated primarily as a means to accelerate convergence. Stability theory has been absent outside of two res…
Optimal Storage Arbitrage under Net Metering using Linear Programming
Md Umar Hashmi, Arpan Mukhopadhyay, Ana Bušić +2
We formulate the optimal energy arbitrage problem for a piecewise linear cost function for energy storage devices using linear programming (LP). The LP formulation is based on the…
Zap Q-Learning for Optimal Stopping Time Problems
Shuhang Chen, Adithya M. Devraj, Ana Bušić +1
The objective in this paper is to obtain fast converging reinforcement learning algorithms to approximate solutions to the problem of discounted cost optimal stopping in an irreduc…
Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup
Md Umar Hashmi, Lucas Pereira, Ana Bušić
Energy storage applications are explored from a prosumer (consumers with generation) perspective for the island of Madeira in Portugal. These applications could also be relevant to…
The power disaggregation algorithms and their applications to demand dispatch
Arnaud Cadas, Ana Busic
We were interested in solving a power disaggregation problem which comes down to estimating the power consumption of each device given the total power consumption of the whole hous…
Arbitrage with Power Factor Correction using Energy Storage
Md Umar Hashmi, Deepjyoti Deka, Ana Busic +2
The importance of reactive power compensation for power factor (PF) correction will significantly increase with the large-scale integration of distributed generation interfaced via…
Optimal Control of Dynamic Bipartite Matching Models
Arnaud Cadas, Ana Bušić, Josu Doncel
A dynamic bipartite matching model is given by a bipartite matching graph which determines the possible matchings between the various types of supply and demand items. Both supply…
Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning
Adithya M. Devraj, Ana Bušić, Sean Meyn
Acceleration is an increasingly common theme in the stochastic optimization literature. The two most common examples are Nesterov's method, and Polyak's momentum technique. In this…