Dr Ali Pourmousavi Kani
Senior Lecturer
School of Electrical and Mechanical Engineering
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.
Prospective HDRs and Postdocs
If you are looking for a research position in my group, whether a PhD scholarship or a hosting university for your sabbatical leave or a supporting institute for your home country scholarship, please check out the Prospective HDRs/Postdocs page before you send me an email. I created this simple tool to help you navigate different possibilities to support your request.
Current major projects
1. Assessment, design and operation of battery-supported electric mining vehicles and machinery", known as "Mine Operational Vehicles Electrification (MOVE)"
About the project: In this project, we will provide the Australian mining industry with the tools and information needed to help transition their operations to using battery-supported electric vehicles (BEVs) and associated stationary machinery on mine sites. The Project will enable the resources sector to reduce costs and improve the reliability of energy, improve occupational health and safety (OHS), and reduce the carbon footprint of production.
Project partners: BHP Nickel West, IGO Limited, Energetics Pty Ltd, Allkem, Multicom Resources Limited, the South Australian Department for Energy and Mining (DEM), Queensland’s Department of Energy and Public Works (DEPW), the Minerals Research Institute of Western Australia (MRIWA) and the University of Western Australia
More detail: my personal website, UoA news, FBICRC news
2. Flexible Aggregator Simulation Platform (FRESNO)
About the project: This project aims to create a platform to simulate, test and verify advanced smart grid operation mechanisms at the distribution level. It is a revolutionary platform that facilitates studying larger amounts of renewable integration into the grid to provide a secure environment for larger adoption of electric vehicles by avoiding the excessive capital cost of grid upgrades.
Project partners: Watts from Denmark
More detail: my personal website
Public/Media engagement
- 2024-03-04: Talked to Adam Steer from ABC NT radio station about NT 35MW 1-hour battery.
- 2023-11-24: Talked to Sam Bradbrook from ABC South East about Limestone Coast battery park in SA and future of large-scale battery systems in Australia
-
2023-03-27: Talked to Matthew Pantelis on FiveAA radio station about the significance of our findings reported in our paper on Patterns.
- 2023-03-27: Talked to ABC Port Pirie radio station about the significance of our findings reported in our paper on Patterns.
- 2021-10-15: Australian Mining Magazine - My interview with Nickolas Zakharia from Australian Mining magazine appeared in their October issue (pages 20 and 21) Sep 15, 2021.
- 2021-09-15: Nikkei Magazine - My interview has appeared on the recent article published by Nikkei Magazine on Mine Electrification.
About me
BSc, MSc, and PhD with first-class honours in Power Systems Engineering
IEEE Senior Member
My research interests are optimal stationary and mobile battery storage sizing, operation, and aggregation for power system applications and Ancillary Services through demand response for the future smart grid. We use advanced optimisation techniques, time series analysis, and artificial intelligence (AI) to solve existing and upcoming issues in the power systems' operation at the transmission and distribution levels.
My Research at a Glance
-
Appointments
Date Position Institution name 2023 - ongoing Senior Lecturer University of Adelaide 2019 - 2022 Lecturer University of Adelaide 2017 - 2019 Research Fellow University of Queensland 2017 - 2017 Postdoc Technical University of Denmark 2014 - 2016 Researcher NEC Laboratories America Inc. 2014 - 2014 Power Systems Engineering Specialist California ISO 2011 - 2011 Research Intern NEC Laboratories America Inc. -
Awards and Achievements
Date Type Title Institution Name Country Amount 2022 Award SA Power Networks Best Paper Award 32nd Australasian Universities Power Engineering Conference Australia AUD500 2022 Award Best Paper Award 32nd Australasian Universities Power Engineering Conference Australia AUD500 2021 Award 5th place in the IEEE-CIS technical challenge IEEE Australia USD1000 2019 Invitation Invited Guest Researcher Technical University of Denmark Denmark - 2015 Award Spot Recognition NEC Laboratories America United States - 2015 Award Spot Recognition NEC Laboratories America United States - 2014 Award Don Pierre Graduate Student Publication Montana State University United States - 2011 Award Don Pierre Graduate Student Publication Montana State University United States - -
Education
Date Institution name Country Title 2009 - 2014 Montana State University United States PhD 2005 - 2008 Amirkabir University of Technology Iran MSc 2001 - 2005 University of Mazandaran Iran BSc -
Certifications
Date Title Institution name Country 2018 Advanced Data Analytics for Energy Systems INESC Technology and Science Portugal 2018 Research Data Science Winter School Australian Academy of Science Australia 2016 Energy Storage: An introduction to Technologies, Applications and Best Practices Institute of Electrical and Electronics Engineers United States 2016 Internet of Things (IoT): Roadmap to Connected World Massachusetts Institute of Technology (MIT) United States 2016 Managing Chaos American Management Association United States 2015 Essentials of Project Management for Non-Project Manager American Management Association United States -
Research Interests
-
Journals
Year Citation 2024 Ghimire, S., Deo, R. C., Casillas-Pérez, D., Salcedo-Sanz, S., Pourmousavi, S. A., & Acharya, U. R. (2024). Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Engineering Applications of Artificial Intelligence, 132, 107918-1-107918-26.
2024 Yuan, R., Pourmousavi, S. A., Soong, W. L., & Liisberg, J. A. R. (2024). Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications.. CoRR, abs/2401.03352. 2024 Yuan, R., Pourmousavi, S. A., Soong, W. L., Black, A. J., Liisberg, J. A. R., & Lemos-Vinasco, J. (2024). Unleashing the benefits of smart grids by overcoming the challenges associated with low-resolution data. Cell Reports Physical Science, 5(2), 18 pages.
Scopus22024 Assimi, H., Hashemian Ataabadi, S. N., Islam, S. M. M., Soong, W. L., & Pourmousavi, S. A. (2024). Toward Underground Mobile Fleet Electrification: Three essential steps to make a real change. IEEE Electrification Magazine, 12(1), 16-26.
Scopus12024 Maadani, M., Ranjbar, H., & Pourmousavi, S. A. (2024). Industrial Internet of Things in Mine Electrification: Necessity or luxury?. IEEE Electrification Magazine, 12(1), 45-55.
Scopus12024 Wang, H., Pourmousavi, S. A., Li, Y., Soong, W. L., Zhang, X., & Xiong, B. (2024). A new zero-dimensional dynamic model to study the capacity loss mechanism of vanadium redox flow batteries. Journal of Power Sources, 603, 13 pages.
2024 Ghimire, S., Deo, R. C., Ali Pourmousavi, S., Casillas-Pérez, D., & Salcedo-Sanz, S. (2024). Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. Engineering Applications of Artificial Intelligence, 135, 28 pages.
2023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Yuan, R., Guo, M., Liisberg, J. A. R., & Lemos-Vinascco, J. (2023). Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes. IEEE Transactions on Smart Grid, 13 pages.
2023 Cornell, C., Dinh, N. T., & Pourmousavi, S. A. (2023). A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. International Journal of Forecasting, 17 pages.
Scopus12023 Yuan, R., Pourmousavi, S. A., Soong, W. L., Nguyen, G., & Liisberg, J. A. R. (2023). IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications. Engineering Applications of Artificial Intelligence, 117(A), 105588-1-105588-11.
Scopus5 WoS12023 Bagheri Tookanlou, M., Pourmousavi, S. A., & Marzband, M. (2023). A three-layer joint distributionally robust chance-constrained framework for optimal day-ahead scheduling of e-mobility ecosystem. Applied Energy, 331, 120402-1-120402-14.
Scopus2 WoS12023 Wang, H., Pourmousavi, S. A., Soong, W. L., Zhang, X., Ertugrul, N., & Xiong, B. (2023). Model-based nonlinear dynamic optimisation for the optimal flow rate of vanadium redox flow batteries. Journal of Energy Storage, 68, 107741-1-107741-16.
Scopus22023 Yuan, R., Pourmousavi, S. A., Soong, W. L., Black, A. J., Liisberg, J. A. R., & Lemos-Vinasco, J. (2023). A synthetic dataset of Danish residential electricity prosumers. Scientific Data, 10(1), 371-1-371-15.
Scopus1 Europe PMC12023 Karimi-Arpanahi, S., Pourmousavi, S. A., & Mahdavi, N. (2023). Quantifying the predictability of renewable energy data for improving power systems decision-making. Patterns, 4(4), 100708-1-100708-16.
Scopus12023 Wang, H., Soong, W. L., Pourmousavi, S. A., Zhang, X., Ertugrul, N., & Xiong, B. (2023). Thermal dynamics assessment of vanadium redox flow batteries and thermal management by active temperature control. Journal of Power Sources, 570, 233027-1-233027-13.
Scopus4 WoS22023 Banaei, M., D’Ettorre, F., Ebrahimy, R., Pourmousavi, S. A., Blomgren, E. M. V., & Madsen, H. (2023). A stochastic methodology to exploit maximum flexibility of swimming pool heating systems. International Journal of Electrical Power and Energy Systems, 145, 108643-1-108643-13.
Scopus32023 Deo, R. C., Ahmed, A. A. M., Casillas-Pérez, D., Pourmousavi, S. A., Segal, G., Yu, Y., & Salcedo-Sanz, S. (2023). Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression. Renewable Energy, 203, 113-130.
Scopus72023 Wang, H., Pourmousavi, S. A., Soong, W. L., Zhang, X., & Ertugrul, N. (2023). Battery and energy management system for vanadium redox flow battery: A critical review and recommendations. Journal of Energy Storage, 58, 106384-1-106384-21.
Scopus27 WoS42023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., Lemos-Vinasco, J., & Liisberg, J. A. R. (2023). On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details.. CoRR, abs/2310.02494. 2023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., & Liisberg, J. A. R. (2023). Cost-Effective Community Battery Sizing and Operation Within a Local Market Framework. IEEE Transactions on Energy Markets, Policy, and Regulation, 1(4), 536-548.
2023 Yuan, R., Pourmousavi, S. A., Soong, W. L., Black, A. J., Liisberg, J. A. R., & Lemos-Vinasco, J. (2023). A New Time Series Similarity Measure and Its Smart Grid Applications. 2022 Lemos-Vinasco, J., Schledorn, A., Pourmousavi, S. A., & Guericke, D. (2022). Economic evaluation of stochastic home energy management systems in a
realistic rolling horizon setting.2022 D’Ettorre, F., Banaei, M., Ebrahimy, R., Pourmousavi, S. A., Blomgren, E. M. V., Kowalski, J., . . . Madsen, H. (2022). Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective. Renewable and Sustainable Energy Reviews, 165, 21 pages.
Scopus56 WoS162022 Karimi-Arpanahi, S., Jooshaki, M., Pourmousavi, S. A., & Lehtonen, M. (2022). Leveraging the flexibility of electric vehicle parking lots in distribution networks with high renewable penetration. International Journal of Electrical Power & Energy Systems, 142(B), 1-12.
Scopus8 WoS22021 Bagheri Tookanlou, M., Pourmousavikani, S. A., & Marzband, M. (2021). An Optimal Day-Ahead Scheduling Framework for E-Mobility Ecosystem Operation with Drivers Preferences. IEEE Transactions on Power Systems, 36(6), 1.
Scopus14 WoS42021 Tookanlou, M. B., Ali Pourmousavi Kani, S., & Marzband, M. (2021). A comprehensive day-ahead scheduling strategy for electric vehicles operation. International Journal of Electrical Power and Energy Systems, 131, 106912-1-106912-17.
Scopus24 WoS152021 Pourmousavi Kani, S. (2021). Robust Flexible Unit Commitment in Network-Constrained Multicarrier Energy Systems. IEEE Systems Journal, 15(4), 5267.
Scopus15 WoS122021 Akram, U., Mithulananthan, N., Shah, R., & Pourmousavi, S. A. (2021). Sizing HESS as inertial and primary frequency reserve in low inertia power system. IET RENEWABLE POWER GENERATION, 15(1), 15 pages.
Scopus12 WoS62021 Yuan, R., Pourmousavi, S. A., Soong, W. L., Nguyen, G., & Liisberg, J. A. R. (2021). IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners.. CoRR, abs/2109.13732. 2021 Tookanlou, M. B., Pourmousavi, S. A., & Marzband, M. (2021). Three-Layer Joint Distributionally Robust Chance-Constrained Framework for Optimal Day-Ahead Scheduling of E-mobility Ecosystem.. CoRR, abs/2110.12123. 2020 Hasan, M. M., Pourmousavi Kani, S., Jahanbani Ardakani, A., & Saha, T. K. (2020). A data-driven approach to estimate battery cell temperature using a nonlinear autoregressive exogenous neural network model. Journal of Energy Storage, 32, 11 pages.
Scopus27 WoS92019 De Zotti, G., Pourmousavi, S. A., Morales, J. M., Madsen, H., & Poulsen, N. K. (2019). Consumers' Flexibility Estimation at the TSO Level for Balancing Services. IEEE Transactions on Power Systems, 34(3), 1918-1930.
Scopus28 WoS152019 De Zotti, G., Pourmousavi Kani, S., Morales, J. M., Madsen, H., & Poulsen, N. K. (2019). A Control-based Method to Meet TSO and DSO Ancillary Services Needs by Flexible End-Users. IEEE Transactions on Power Systems, 35(3), 1868-1880.
Scopus26 WoS192018 Pourmousavi, S. A., & Saha, T. K. (2018). Evaluation of the battery operation in ramp-rate control mode within a PV plant: A case study. Solar Energy, 166, 242-254.
Scopus11 WoS82018 De Zotti, G., Pourmousavi, S., Madsen, H., & Kjolstad Poulsen, N. (2018). Ancillary Services 4.0: A Top-To-Bottom Control-Based Approach for Solving Ancillary Services Problems in Smart Grids. IEEE Access, 6, 11694-11706.
Scopus39 WoS332018 Marzband, M., Javadi, M., Pourmousavi, S. A., & Lightbody, G. (2018). An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory. Electric Power Systems Research, 157, 187-199.
Scopus113 WoS962018 Pourmousavi Kani, S. A., Wild, P., & Saha, T. K. (2018). Improving Predictability of Renewable Generation through Optimal Battery Sizing. IEEE Transactions on Sustainable Energy, 11(1), 11 pages.
Scopus36 WoS192016 Kordkheili, R., Pourmousavi, S., Savaghebi, M., Guerrero, J., & Nehrir, M. (2016). Assessing the potential of plug-in electric vehicles in active distribution networks. Energies, 9(1), 34.
Scopus17 WoS122015 Pourmousavi, S., Nehrir, M., & Sharma, R. (2015). Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response. IEEE Transactions on Smart Grid, 6(3), 1185-1195.
Scopus83 WoS682014 Pourmousavi, S., Patrick, S., & Nehrir, M. (2014). Real-time demand response through aggregate electric water heaters for load shifting and balancing wind generation. IEEE Transactions on Smart Grid, 5(2), 769-778.
Scopus143 WoS1112014 Pourmousavi, S., & Nehrir, M. (2014). Introducing dynamic demand response in the LFC model. IEEE Transactions on Power Systems, 29(4), 1562-1572.
Scopus160 WoS1232012 Pourmousavi, S. A., & Nehrir, M. H. (2012). Real-time central demand response for primary frequency regulation in microgrids. IEEE Transactions on Smart Grid, 3(4), 1988-1996.
Scopus237 WoS1932011 Kani, S. A. P., Riahy, G. H., & Mazhari, D. (2011). An innovative hybrid algorithm for very short-term wind speed prediction using linear prediction and Markov chain approach. International Journal of Green Energy, 8(2), 147-162.
Scopus16 WoS162011 Pourmousavi Kani, S. A., & Ardehali, M. M. (2011). Very short-term wind speed prediction: A new artificial neural network-Markov chain model. Energy Conversion and Management, 52(1), 738-745.
Scopus174 WoS1482010 Pourmousavi, S. A., Nehrir, M. H., Colson, C. M., & Wang, C. (2010). Real-time energy management of a stand-alone hybrid wind-microturbine energy system using particle swarm optimization. IEEE Transactions on Sustainable Energy, 1(3), 193-201.
Scopus208 WoS154 -
Book Chapters
Year Citation 2019 Pourmousavi Kani, S., Shahnia, F., Azim, M. I., Shoeb, M. A., & Shafiullah, G. M. (2019). Microgrid control overview. In S. M. Muyeen, S. Mofizul Islam, & F. Blaabjerg (Eds.), Variability, Scalability and Stability of Microgrids (1 ed., pp. 15-71). London, United Kingdom: The Institution of Engineering and Technology (IET).
Scopus3 -
Conference Papers
Year Citation 2024 Karimi-Arpanahi, S., Kani, A. P., & Mahdavi, N. (2024). Battery Scheduling Optimisation in Energy and Ancillary Services Markets: Quantifying Unrealised Revenue in the Australian NEM. In The 15th ACM International Conference on Future and Sustainable Energy Systems. Online: ACM.
2023 Karimi-Arpanahi, S., & Pourmousavi, S. A. (2023). Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy. In Proceedings of the 32nd Australasian Universities Power Engineering Conference (AUPEC 2022) (pp. 1-6). Adelaide, SA, Australia: IEEE.
Scopus12023 Yao, Y., Ertugrul, N., & Kani, A. P. (2023). Investigation of Short-Term Intermittency in Solar Irradiance and Its Impacts on PV Converter Systems. In Proceedings of the 32nd Australasian Universities Power Engineering Conference (AUPEC 2022) (pp. 1-6). Adelaide, SA, Australia: IEEE.
2022 Kumar, Y. P. S., Pourmousavi, S. A., Wagner, M., & Liisberg, J. A. R. (2022). Optimal offering strategy for an aggregator across multiple products of European day-ahead market.. In ISGT-Europe (pp. 1-6). IEEE. 2022 Dinh, N. T., Pourmousavi, S. A., Karimi-Arpanahi, S., Kumar, Y. P. S., Guo, M., Abbott, D., & Liisberg, J. A. R. (2022). Optimal sizing and scheduling of community battery storage within a local market. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems (pp. 34-46). Online: ACM.
Scopus4 WoS22022 Kumar, Y. P. S., Ali Pourmousavi, S., Wagner, M., & Liisberg, J. A. R. (2022). Optimal offering strategy for an aggregator across multiple products of European day-ahead market. In IEEE PES Innovative Smart Grid Technologies Conference Europe Vol. 2022-October (pp. 1-6). Nova Sad, Serbia: IEEE.
2022 Kumar, Y. P. S., Yuan, R., Dinh, N. T., & Pourmousavi, S. A. (2022). Optimal activity and battery scheduling algorithm using load and solar generation forecasts. In 2022 32nd Australasian Universities Power Engineering Conference (AUPEC) Vol. abs/2210.12990 (pp. 1-6). Adelaide, SA. Aust: IEEE.
2021 Yao, Y., Ertugrul, N., & Pourmousavi Kani, S. A. (2021). Power Sharing and Voltage Regulation in Islanded DC Microgrids with Centralized Double-Layer Hierarchical Control. In 2021 31st Australasian Universities Power Engineering Conference (AUPEC) (pp. 1-6). online: IEEE.
Scopus4 WoS12021 Blomgren, E. M., Ebrahimy, R., Kani, A. P., Moller, J. K., D'Ettorre, F., Banaei, M., & Madsen, H. (2021). Behind-the-Meter Energy Flexibility Modelling for Aggregator Operation with a Focus on Uncertainty. In 2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021) (pp. 684-689). Online: IEEE.
WoS12020 Ertugrul, N., Kani, A. P., Davies, M., Sbarbaro, D., & Morán, L. (2020). Status of mine electrification and future potentials. In Proceedings - 2020 International Conference on Smart Grids and Energy Systems, SGES 2020 (pp. 151-156). online: IEEE.
Scopus16 WoS32019 De Zotti, G., Guericke, D., Pourmousavi, S. A., Miguel Morales, J., Madsen, H., & Poulsen, N. K. (2019). Analysis of rebound effect modelling for flexible electrical consumers. In IFAC PAPERSONLINE Vol. 52 (pp. 6-11). online: ELSEVIER.
Scopus2 WoS22019 Hasan, M. M., & Pourmousavi, S. A. (2019). Battery Cell Temperature Estimation Model and Cost Analysis of a Grid-Connected PV-BESS Plant. In 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 (pp. 1804-1809). online: IEEE.
Scopus22019 Azim, M. I., Pourmousavi, S., Tushar, W., & Saha, T. K. (2019). Feasibility study of financial P2P energy trading in a grid-tied power network. In Proceedings of the 2019 IEEE Power and Energy Society General Meeting (PESGM) Vol. abs/1909.04763 (pp. 1-5). Piscataway, NJ: IEEE.
Scopus552018 Vardanyan, Y., Banis, F., Pourmousavi, S. A., & Madsen, H. (2018). Optimal coordinated bidding of a profit-maximizing EV aggregator under uncertainty. In 2018 IEEE International Energy Conference, ENERGYCON 2018 (pp. 1-6). online: IEEE.
Scopus25 WoS32018 De Zotti, G., Pourmousavi, S. A., Madsen, H., & Poulsen, N. K. (2018). Utilizing flexibility resources in the future power system operation: Alternative approaches. In 2018 IEEE International Energy Conference, ENERGYCON 2018 (pp. 1-6). online: IEEE.
Scopus12018 Mehedi Hasan, M., Ali Pourmousavi, S., Bai, F., & Saha, T. K. (2018). The impact of temperature on battery degradation for large-scale BESS in PV plant. In 2017 Australasian Universities Power Engineering Conference, AUPEC 2017 Vol. 2017-November (pp. 1-6). online: IEEE.
Scopus102018 Parandehgheibi, M., Pourmousavi, S. A., Nakayama, K., & Sharma, R. K. (2018). A two-layer incentive-based controller for aggregating BTM storage devices based on transactive energy framework. In IEEE Power and Energy Society General Meeting Vol. 2018-January (pp. 1-5). online: IEEE.
Scopus5 WoS52016 Pourmousavi, S. A., Asghari, B., & Sharma, R. K. (2016). A novel algorithm to integrate battery Cyclic and Calendar agings within a single framework. In 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 (pp. 1-5). Online: IEEE.
Scopus12016 Mohan, S., Hooshmand, A., Pourmousavi, S. A., & Sharma, R. (2016). BSS sizing and economic benefit analysis in grid-scale application. In 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2016 (pp. 1-5). Online: IEEE.
Scopus22016 Pourmousavi, S. A., Behrangrad, M., Nehrir, M. H., & Ardakani, A. J. (2016). LFC model for multi-area power systems considering dynamic demand response. In Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference Vol. 2016-July (pp. 1-5). Online: IEEE.
Scopus17 WoS12014 Kordkheili, R. A., Pourmousavi, S. A., Pillai, J. R., Hasanien, H. M., Bak-Jensen, B., & Nehrir, M. H. (2014). Optimal sizing and allocation of residential photovoltaic panels in a distribution network for ancillary services application. In 2014 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2014 (pp. 681-687). Online: IEEE Computer Society.
Scopus8 WoS52013 Marchese, K., Pourmousavi, S. A., & Nehrir, M. H. (2013). The application of demand response for frequency regulation in an islanded microgrid with high penetration of renewable generation. In 45th North American Power Symposium, NAPS 2013 (pp. 6 pages). Kansas State Univ, Manhattan, KS: IEEE.
Scopus10 WoS22012 Pourmousavi, S. A., Sharma, R. K., & Asghari, B. (2012). A framework for real-time power management of a grid-tied microgrid to extend battery lifetime and reduce cost of energy. In 2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012 (pp. 1-8). IEEE.
Scopus362012 Litchy, A. J., Young, C., Pourmousavi, S. A., & Nehrir, M. H. (2012). Technology selection and unit sizing for a combined heat and power microgrid: Comparison of WebOpt and HOMER application programs. In 2012 North American Power Symposium, NAPS 2012. IEEE.
Scopus132012 Pourmousavi, S. A., Cifala, A. S., & Nehrir, M. H. (2012). Impact of high penetration of PV generation on frequency and voltage in a distribution feeder. In 2012 North American Power Symposium, NAPS 2012. IEEE.
Scopus252012 Pourmousavi, S. A., & Nehrir, M. H. (2012). Real-time optimal demand response for frequenc regulation in smart μgrid environment. In Proceedings of the IASTED International Conference on Power and Energy Systems, EuroPES 2012 (pp. 194-200). ACTAPRESS.
2011 Pourmousavi, S. A., & Nehrir, M. H. (2011). Demand response for smart microgrid: Initial results. In IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe. IEEE.
Scopus402011 Pourmousavi, S. A., Nehrir, M. H., & Sastry, C. (2011). Providing ancillary services through demand response with minimum load manipulation. In NAPS 2011 - 43rd North American Power Symposium. IEEE.
Scopus242010 Colson, C. M., Nehrir, M. H., & Pourmousavi, S. A. (2010). Towards real-time microgrid power management using computational intelligence methods. In IEEE PES General Meeting, PES 2010 (pp. 8 pages). Minneapolis, MN: IEEE.
Scopus74 WoS92008 Pourmousavi Kani, S. A., & Riahy, G. H. (2008). A new ANN-based methodology for very short-term wind speed prediction using Markov chain approach. In 2008 IEEE Electrical Power and Energy Conference - Energy Innovation (pp. 566-571). Vancouver, CANADA: IEEE.
Scopus52 WoS22007 Kani, S. A. P., & Ershad, N. F. (2007). Annual electricity demand prediction for iranian agriculture sector using ANN and PSO. In 2007 IEEE Canada Electrical Power Conference, EPC 2007 (pp. 446-451). IEEE.
Scopus5 -
Conference Items
Year Citation 2017 Pourmousavi, S. A., Behrangrad, M., Ardakani, A. J., & Nehrir, M. H. (2017). Ownership Cost Calculations for Distributed Energy Resources Using
Uncertainty and Risk Analyses. Poster session presented at the meeting of Unknown Conference. -
Preprint
Year Citation 2024 Yuan, R., Pourmousavi, S. A., Soong, W. L., & Liisberg, J. A. R. (2024). Dynamic and Memory-efficient Shape Based Methodologies for User Type
Identification in Smart Grid Applications.2023 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Yuan, R., Guo, M., Liisberg, J. A. R., & Lemos-Vinascco, J. (2023). Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes.. 2023 Cornell, C., Dinh, N. T., & Pourmousavi, S. A. (2023). A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market.. 2023 Karimi-Arpanahi, S., & Pourmousavi, S. A. (2023). Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy..
| Date | Project/ No. | Investigators | Funding Body | Amount |
|---|---|---|---|---|
| 2024 | The development of EV charging infrastructure (EV-CI) regulatory framework and adoption of standards for Namibia (Consultancy) |
CI | VoltGate Engineering and Electric Control Board (ECB) of Namibia | $12K |
| 2022 | Risk reduction study (Consultancy) | Co-CI | Sovereign Propulsion Systems PTY LTD | $5K |
| 2021-2024 | Mine Mobile Fleet Electrification | Project Leader | FBICRC | ~$1.16M |
| 2021 | Price, Cooling and Heating Demand Prediction Tools (Consultancy) | Chief Investigator | Center Denmark | ~$15K |
| 2021-2025 | Flexibility Aggregator Simulation Platform (FRESNO) | Chief Investigator | UAiPhD and Watts, Denmark | ~$550K |
| 2020 | Distributed Energy Resources Sizing Validation for ARENA grant (Consultancy) | Investigator | Riverina County Water Council | ~$25K |
| 2019 | Research Infrastructure Grant | Chief Investigator | School of Electrical and Electronic Engineering, the University of Adelaide | ~$36K |
| 2019 | PhD Scholarship Grant | Chief Investigator | startup grant at the School of Electrical and Electronic Engineering, the University of Adelaide | ~$82K |
Courses Summary
| Date | Taught | Developed | Coordinated | Course Title | Institution | Course Level/ Code | URL |
|---|---|---|---|---|---|---|---|
| 2020-Present | X | X | X | Electricity Market and Power Systems Operation | University of Adelaide | ELEC ENG 4087-7087 | Link |
| 2020-Present | X | X | Electronic Circuits | University of Adelaide | ELEC ENG 2101 | Link | |
| 2020-2023 | X | Electronic Circuits M | University of Adelaide | ELEC ENG 2105 | Link | ||
| 2018 | X | Electricity Market Operation and Security (Half a course) | University of Queensland | ELEC 7310 | Link |
-
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2023 Co-Supervisor Explainable, Transparent and Trustworthy Data-Driven, Modelling of Underground Electric Mining Trucks Doctor of Philosophy Doctorate Full Time Miss Tamsa . 2022 Principal Supervisor Energy and storage infrastructure design for charging mine operational battery supported electric vehicles (EV) Doctor of Philosophy Doctorate Full Time Mr Shah Islam 2022 Co-Supervisor Optimal Energy Storage and Infrastructure Design and Operation for Mining's Electrified Mobile Fleet Doctor of Philosophy Doctorate Full Time Mr Behnam Hashemian Ataabadi 2021 Principal Supervisor UAiPhD - Flexibility Aggregator Simulation Platform (FRESNO): Prosumers Price Response Modelling (FRESNO B) Doctor of Philosophy Doctorate Full Time Mr Rui Yuan 2021 Principal Supervisor Flexible Aggregator Simulation Platform (FRESNO): Local Energy and Ancillary Services Markets (FRESNO C) Doctor of Philosophy Doctorate Full Time Mr Trong Nam Dinh 2021 Principal Supervisor Industry PhD Flexible Aggregator Simulation Platform (FRESNO): Optimal Bidding in the Wholesale and Local Markets (FRESNO A) Doctor of Philosophy Doctorate Full Time Mr Yogesh Pipada Sunil Kumar 2021 Principal Supervisor Redox Flow Battery Modelling and Energy Management Doctor of Philosophy Doctorate Full Time Mr Hao Wang 2020 Principal Supervisor A Battery Storage Sizing Optimisation Model for Improving the Profits of Renewable Plants from Participating in Electricity Markets Doctor of Philosophy Doctorate Full Time Mr Sahand Karimi-Arpanahi -
Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2019 - ongoing External Supervisor V2G and G2V operation within local market environment Northumbria University, United Kingdom - Doctorate Full Time Mahsa Bagheri Tookanlou 2019 - ongoing Co-Supervisor Artificial Intelligence for Flexible Energy Systems Operation Technical University of Denmark (DTU) - Doctorate Full Time Emma Margareta Viktoria Blomgren 2019 - ongoing Co-Supervisor Aggregator role at distribution networks Technical University of Denmark (DTU) - Doctorate Full Time Julian Lemos Vinasco 2019 - ongoing Co-Supervisor Storage as a source of inertia for power systems with high amount of renewable resources The University of Queensland, The University of Adelaide - Doctorate Full Time Umer Akram 2017 - 2019 Co-Supervisor Thermal Modelling and Cost Analysis of Large-scale Battery Energy Storage System in a PV plant The University of Queensland - Master - Md Mehedi Hasan 2017 - 2019 Co-Supervisor Leveraging consumers' flexibility for the provision of ancillary services Technical University of Denmark, The University of Queensland - Doctorate Full Time Giulia De Zotti
Connect With Me
External Profiles
