193 citations · 416 across the 36 of their papers we have counts for
7 papers · 1 filter
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…