3 papers
eess.SY2026
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…
eess.SY2026
Calibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets
Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A. R. Liisberg +1
Reliable forecasting of prosumer flexibility is critical for demand response aggregators participating in frequency controlled ancillary services market, where strict reliability r…
eess.SP2025
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…