7 citations · 11 across the 14 of their papers we have counts for
7 papers · 1 filter
Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation
Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A. R. Liisberg +1
The ongoing decarbonisation of power systems is driving an increasing reliance on distributed energy resources, which introduces complex and nonlinear interactions that are difficu…
Calibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets
Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A. R. Liisberg +2
Reliable forecasting of prosumer flexibility is critical for demand response aggregators in frequency controlled ancillary service markets, where reliability requirements such as t…
Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications
Rui Yuan, S. Ali Pourmousavi, Wen L. Soong +1
Detecting behind-the-meter (BTM) equipment and major appliances at the residential level and tracking their changes in real time is important for aggregators and traditional electr…
On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details
Nam Trong Dinh, Sahand Karimi-Arpanahi, S. Ali Pourmousavi +3
Optimal battery sizing studies tend to overly simplify the practical aspects of battery operation within the battery sizing framework. Such assumptions may lead to a suboptimal bat…
Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes
Nam Trong Dinh, Sahand Karimi-Arpanahi, Rui Yuan +4
Demand response (DR) plays a critical role in ensuring efficient electricity consumption and optimal use of network assets. Yet, existing DR models often overlook a crucial element…
Three-Layer Joint Distributionally Robust Chance-Constrained Framework for Optimal Day-Ahead Scheduling of E-mobility Ecosystem
Mahsa Bagheri Tookanlou, S. Ali Pourmousavi, Mousa Marzband
A high number of electric vehicles (EVs) in the transportation sector necessitates an advanced scheduling framework for e-mobility ecosystem operation as a whole in order to overco…
Feasibility Study of Financial P2P Energy Trading in a Grid-tied Power Network
M Imran Azim, S. A. Pourmousavi, Wayes Tushar +1
This paper studies the applicability of peer-to-peer (P2P) energy trading in a grid-tied network. The main objectives are to understand the impact of the financial P2P energy tradi…