S. Ali Pourmousavi

According to our database, S. Ali Pourmousavi authored at least 24 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, September, 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

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

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

2023

Quantifying the predictability of renewable energy data for improving power systems decision-making.

Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Nariman Mahdavi

Patterns, April, 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

A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market.

Cameron Cornell, Nam Trong Dinh, S. Ali Pourmousavi

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

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

Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy.

Sahand Karimi-Arpanahi, S. Ali Pourmousavi

CoRR, 2023

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

Optimal offering strategy for an aggregator across multiple products of European day-ahead market.

Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Markus Wagner, Jon A. R. Liisberg

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

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

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

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 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

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

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

2018

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

2016

A novel algorithm to integrate battery Cyclic and Calendar agings within a single framework.

S. Ali Pourmousavi, Babak Asghari, Ratnesh K. Sharma

Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

BSS sizing and economic benefit analysis in grid-scale application.

Shankar Mohan, Ali Hooshmand, S. Ali Pourmousavi, Ratnesh Sharma

Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

2015

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

2014

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

2012

Real-Time Central Demand Response for Primary Frequency Regulation in Microgrids.

S. Ali Pourmousavi, M. Hashem Nehrir

IEEE Trans. Smart Grid, 2012

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

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012