A framework for real-time power management of a grid-tied microgrid to extend battery lifetime and reduce cost of energy. - S. Ali Pourmousavi; Ratnesh K. Sharma; Babak Asghari (ISGT, 2012)

Real-Time Central Demand Response for Primary Frequency Regulation in Microgrids. - S. Ali Pourmousavi; M. Hashem Nehrir (IEEE Trans. Smart Grid, 2012)

Real-Time Demand Response Through Aggregate Electric Water Heaters for Load Shifting and Balancing Wind Generation. - S. Ali Pourmousavi; Stasha N. Patrick; M. Hashem Nehrir (IEEE Trans. Smart Grid, 2014)

Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response. - S. Ali Pourmousavi; M. Hashem Nehrir; Ratnesh K. Sharma (IEEE Trans. Smart Grid, 2015)

BSS sizing and economic benefit analysis in grid-scale application. - Shankar Mohan; Ali Hooshmand; S. Ali Pourmousavi; Ratnesh Sharma (ISGT, 2016)

A novel algorithm to integrate battery Cyclic and Calendar agings within a single framework. - S. Ali Pourmousavi; Babak Asghari; Ratnesh K. Sharma (ISGT, 2016)

Ancillary Services 4.0: A Top-to-Bottom Control-Based Approach for Solving Ancillary Services Problems in Smart Grids. - Giulia De Zotti; S. Ali Pourmousavi; Henrik Madsen; Niels Kjølstad Poulsen (IEEE Access, 2018)

IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners. - Rui Yuan; S. Ali Pourmousavi; Wen L. Soong; Giang Nguyen; Jon A. R. Liisberg (CoRR, 2021)

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 (CoRR, 2021)

Optimal activity and battery scheduling algorithm using load and solar generation forecast. - Rui Yuan; Nam Trong Dinh; Yogesh Pipada Sunil Kumar; S. Ali Pourmousavi (CoRR, 2021)

Robust Flexible Unit Commitment in Network-Constrained Multicarrier Energy Systems. - Mohammad Amin Mirzaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Kazem Zare; Mousa Marzband; S. Ali Pourmousavi (IEEE Syst. J., 2021)

Optimal sizing and scheduling of community battery storage within a local market. - Nam Trong Dinh; S. Ali Pourmousavi; Sahand Karimi-Arpanahi; Yogesh Pipada Sunil Kumar; Mingyu Guo; Derek Abbott; Jon A. R. Liisberg (e-Energy, 2022)

Optimal offering strategy for an aggregator across multiple products of European day-ahead market. - Yogesh Pipada Sunil Kumar; S. Ali Pourmousavi; Markus Wagner 007; Jon A. R. Liisberg (ISGT-Europe, 2022)

Optimal activity and battery scheduling algorithm using load and solar generation forecasts. - Yogesh Pipada Sunil Kumar; Rui Yuan; Nam Trong Dinh; S. Ali Pourmousavi (CoRR, 2022)

Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy. - Sahand Karimi-Arpanahi; S. Ali Pourmousavi (CoRR, 2023)

Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes. - Nam Trong Dinh; Sahand Karimi-Arpanahi; S. Ali Pourmousavi; Rui Yuan; Mingyu Guo; Jon A. R. Liisberg; Julián Lemos-Vinascco (CoRR, 2023)

On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details. - Nam Trong Dinh; Sahand Karimi-Arpanahi; S. Ali Pourmousavi; Mingyu Guo; Julián Lemos-Vinasco; Jon A. R. Liisberg (CoRR, 2023)

A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. - Cameron Cornell; Nam Trong Dinh; S. Ali Pourmousavi (CoRR, 2023)

IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications. - Rui Yuan; S. Ali Pourmousavi; Wen L. Soong; Giang Nguyen; Jon A. R. Liisberg (Eng. Appl. Artif. Intell., 2023)

Quantifying the predictability of renewable energy data for improving power systems decision-making. - Sahand Karimi-Arpanahi; S. Ali Pourmousavi; Nariman Mahdavi (Patterns, 2023)

Sustainable and cost-effective microgrid sizing methodology for mining operations considering reliability and energy not-served. - Shah Mohammad Mominul Islam; Hossein Ranjbar; S. Ali Pourmousavi; Wen L. Soong (ISGT EUROPE, 2024)

Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications. - Rui Yuan; S. Ali Pourmousavi; Wen L. Soong; Jon A. R. Liisberg (CoRR, 2024)

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. - Sujan Ghimire; Ravinesh C. Deo; David Casillas-Pérez; Sancho Salcedo-Sanz; S. Ali Pourmousavi; U. Rajendra Acharya (Eng. Appl. Artif. Intell., 2024)

Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. - Sujan Ghimire; Ravinesh C. Deo; S. Ali Pourmousavi; David Casillas-Pérez; Sancho Salcedo-Sanz (Eng. Appl. Artif. Intell., 2024)

Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes. - Nam Trong Dinh; Sahand Karimi-Arpanahi; Rui Yuan; S. Ali Pourmousavi; Mingyu Guo; Jon A. R. Liisberg; Julián Lemos-Vinasco (IEEE Trans. Smart Grid, 2024)