7 citations · 9 across the 8 of their papers we have counts for
8 papers
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…
A New Time Series Similarity Measure and Its Smart Grid Applications
Rui Yuan, Hossein Ranjbar, S. Ali Pourmousavi +4
Many smart grid applications involve data mining, clustering, classification, identification, and anomaly detection, among others. These applications primarily depend on the measur…
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…
Optimal offering strategy for an aggregator across multiple products of European day-ahead market
Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Markus Wagner +1
Most literature surrounding optimal bidding strategies for aggregators in European day-ahead market (DAM) considers only hourly orders. While other order types (e.g., block orders)…
IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications
Rui Yuan, S. Ali Pourmousavi, Wen L. Soong +2
Modern power systems are experiencing the challenge of high uncertainty with the increasing penetration of renewable energy resources and the electrification of heating systems. In…