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ORCIDS. Ali Pourmousavi
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Journal Articles
- 2024
[j10]Sujan Ghimire, Ravinesh C. Deo
, David Casillas-Pérez, Sancho Salcedo-Sanz, S. Ali Pourmousavi, U. Rajendra Acharya:
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Eng. Appl. Artif. Intell. 132: 107918 (2024)- [j9]Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, David Casillas-Pérez, Sancho Salcedo-Sanz:
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. Eng. Appl. Artif. Intell. 135: 108702 (2024) - [j8]Nam Trong Dinh, Sahand Karimi-Arpanahi, Rui Yuan, S. Ali Pourmousavi, Mingyu Guo, Jon A. R. Liisberg, Julián Lemos-Vinasco:
Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes. IEEE Trans. Smart Grid 15(5): 4636-4648 (2024) - 2023
- [j7]Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A. R. Liisberg:
IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications. Eng. Appl. Artif. Intell. 117(Part): 105588 (2023) - [j6]Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Nariman Mahdavi:
Quantifying the predictability of renewable energy data for improving power systems decision-making. Patterns 4(4): 100708 (2023) - 2021
- [j5]Mohammad Amin Mirzaei, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Kazem Zare, Mousa Marzband, S. Ali Pourmousavi:
Robust Flexible Unit Commitment in Network-Constrained Multicarrier Energy Systems. IEEE Syst. J. 15(4): 5267-5276 (2021) - 2018
- [j4]Giulia De Zotti, S. Ali Pourmousavi, Henrik Madsen, Niels Kjølstad Poulsen:
Ancillary Services 4.0: A Top-to-Bottom Control-Based Approach for Solving Ancillary Services Problems in Smart Grids. IEEE Access 6: 11694-11706 (2018) - 2015
- [j3]S. Ali Pourmousavi, M. Hashem Nehrir, Ratnesh K. Sharma:
Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response. IEEE Trans. Smart Grid 6(3): 1185-1195 (2015) - 2014
- [j2]S. Ali Pourmousavi, Stasha N. Patrick, M. Hashem Nehrir:
Real-Time Demand Response Through Aggregate Electric Water Heaters for Load Shifting and Balancing Wind Generation. IEEE Trans. Smart Grid 5(2): 769-778 (2014) - 2012
- [j1]S. Ali Pourmousavi, M. Hashem Nehrir:
Real-Time Central Demand Response for Primary Frequency Regulation in Microgrids. IEEE Trans. Smart Grid 3(4): 1988-1996 (2012)
Conference and Workshop Papers
- 2022
- [c6]Nam Trong Dinh, S. Ali Pourmousavi, Sahand Karimi-Arpanahi, Yogesh Pipada Sunil Kumar, Mingyu Guo, Derek Abbott, Jon A. R. Liisberg:
Optimal sizing and scheduling of community battery storage within a local market. e-Energy 2022: 34-46 - [c5]Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Markus Wagner, Jon A. R. Liisberg:
Optimal offering strategy for an aggregator across multiple products of European day-ahead market. ISGT-Europe 2022: 1-6 - 2016
- [c4]Shankar Mohan, Ali Hooshmand, S. Ali Pourmousavi, Ratnesh Sharma:
BSS sizing and economic benefit analysis in grid-scale application. ISGT 2016: 1-5 - [c3]S. Ali Pourmousavi, Babak Asghari, Ratnesh K. Sharma:
A novel algorithm to integrate battery Cyclic and Calendar agings within a single framework. ISGT 2016: 1-5 - 2013
- [c2]S. Ali Pourmousavi, M. Hashem Nehrir:
Real-time central demand response for primary frequency regulation in microgrids. ISGT 2013: 1 - 2012
- [c1]S. Ali Pourmousavi, Ratnesh K. Sharma, Babak Asghari:
A framework for real-time power management of a grid-tied microgrid to extend battery lifetime and reduce cost of energy. ISGT 2012: 1-8
Informal and Other Publications
- 2024
- [i9]Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Jon A. R. Liisberg:
Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications. CoRR abs/2401.03352 (2024) - 2023
- [i8]Sahand Karimi-Arpanahi, S. Ali Pourmousavi:
Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy. CoRR abs/2301.06035 (2023) - [i7]Nam Trong Dinh, Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Rui Yuan, Mingyu Guo, Jon A. R. Liisberg, Julián Lemos-Vinascco:
Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes. CoRR abs/2309.09012 (2023) - [i6]Nam Trong Dinh, Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Mingyu Guo, Julián Lemos-Vinasco, Jon A. R. Liisberg:
On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details. CoRR abs/2310.02494 (2023) - [i5]Cameron Cornell, Nam Trong Dinh, S. Ali Pourmousavi:
A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. CoRR abs/2311.07289 (2023) - 2022
- [i4]Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh, S. Ali Pourmousavi:
Optimal activity and battery scheduling algorithm using load and solar generation forecasts. CoRR abs/2210.12990 (2022) - 2021
- [i3]Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Giang Nguyen, Jon A. R. Liisberg:
IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners. CoRR abs/2109.13732 (2021) - [i2]Mahsa Bagheri Tookanlou, S. Ali Pourmousavi, Mousa Marzband:
Three-Layer Joint Distributionally Robust Chance-Constrained Framework for Optimal Day-Ahead Scheduling of E-mobility Ecosystem. CoRR abs/2110.12123 (2021) - [i1]Rui Yuan, Nam Trong Dinh, Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi:
Optimal activity and battery scheduling algorithm using load and solar generation forecast. CoRR abs/2112.02827 (2021)
Coauthor Index
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