7 citations · 11 across the 14 of their papers we have counts for
15 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…
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market
Cameron Cornell, Nam Trong Dinh, S. Ali Pourmousavi
The South Australia region of the Australian National Electricity Market (NEM) displays some of the highest levels of price volatility observed in modern electricity markets. This…
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…
Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy
Sahand Karimi-Arpanahi, Ali Pourmousavi
The number of rooftop photovoltaic (PV) systems has significantly increased in recent years around the globe, including in Australia. This trend is anticipated to continue in the n…
Optimal activity and battery scheduling algorithm using load and solar generation forecasts
Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh +1
Energy usage optimal scheduling has attracted great attention in the power system community, where various methodologies have been proposed. However, in real-world applications, th…
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)…
Economic evaluation of stochastic home energy management systems in a realistic rolling horizon setting
Julian Lemos-Vinasco, Amos Schledorn, S. Ali Pourmousavi +1
Home energy management systems (HEMSs) are expected to become a crucial part of future smart grids. However, there is a limited number of studies that comprehensively assess the po…
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…
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…
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…
Ownership Cost Calculations for Distributed Energy Resources Using Uncertainty and Risk Analyses
S. Ali Pourmousavi, Mahdi Behrangrad, Ali Jahanbani Ardakani +1
Ownership cost calculation plays an important role in optimal operation of distributed energy resources (DERs) and microgrids (MGs) in the future power system, known as smart grid.…