Dr Ali Pourmousavi Kani

Senior Lecturer

School of Electrical and Mechanical Engineering

College of Engineering and Information Technology

Available For Media Comment.


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

 

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

Research on Flexibility AggregationResearch on MicrogridResearch on Electricity Market

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.

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 -

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

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

Year Citation
2025 Wang, H., Pourmousavi, S. A., Soong, W. L., Zhang, X., & Yuan, R. (2025). Accurate battery models matter: Improving battery performance assessment using a novel energy management architecture. Journal of Power Sources, 631, 236216-1-236216-13.
DOI Scopus2 WoS1
2025 Wang, H., Pourmousavi, S. A., Soong, W. L., Zhang, X., Nikoloski, A. N., & Ertugrul, N. (2025). A comprehensive and practical framework for advanced battery management system of vanadium redox flow batteries. Journal of Energy Storage, 123, 116560-1-116560-17.
DOI Scopus1 WoS1
2025 Ranjbar, H., Assimi, H., Pourmousavi Kani, S. A., & Soong, W. L. (2025). Frequency-Constrained Autonomous Microgrid Planning for Mining Industry Applications. Applied Energy, 369, 126201-1-126201-17.
DOI Scopus1 WoS1
2025 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Guo, M., Lemos-Vinasco, J., & Liisberg, J. A. R. (2025). On the financial consequences of simplified battery sizing models without considering operational details. Journal of Energy Storage, 129, 117104-1-117104-9.
DOI
2025 Ranjbar, H., Assimi, H., Islam, S. M. M., Pourmousavi, S. A., & Soong, W. L. (2025). Optimal planning of renewable-based mining microgrids: a comparative study of multi-objective evolutionary algorithms. Optimization Letters, 24 pages.
DOI Scopus3 WoS3
2025 Yuan, R., Pourmousavi, S. A., Soong, W. L., & Liisberg, J. A. R. (2025). Dynamic and Memory-Efficient Shape-Based Methodologies for User Type Identification in Smart Grid Applications. IEEE Transactions on Industrial Informatics, 1-11.
DOI
2024 Dinh, N. T., Karimi-Arpanahi, S., Pourmousavi, S. A., Yuan, R., Guo, M., Liisberg, J. A. R., & Lemos-Vinascco, J. (2024). Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes. IEEE Transactions on Smart Grid, 15(5), 4636-4648.
DOI Scopus4 WoS3
2024 Cornell, C., Dinh, N. T., & Pourmousavi, S. A. (2024). A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. International Journal of Forecasting, 40(4), 1421-1437.
DOI Scopus14 WoS12
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.
DOI Scopus33 WoS23
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.
DOI Scopus15 WoS8
2024 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.
DOI Scopus4 WoS4
2024 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.
DOI Scopus2 WoS2
2024 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, 234428.
DOI Scopus8 WoS8
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, 108702.
DOI Scopus9 WoS5
2023 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.
DOI Scopus6 WoS4
2023 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.
DOI Scopus7 WoS7
2023 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.
DOI Scopus8 WoS7
2023 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.
DOI Scopus16 WoS12 Europe PMC4
2023 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.
DOI Scopus10 WoS10 Europe PMC1
2023 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.
DOI Scopus26 WoS23
2023 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.
DOI Scopus5 WoS3
2023 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.
DOI Scopus19 WoS10
2023 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.
DOI Scopus81 WoS73
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.
DOI Scopus6 WoS4
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, 112605-1-112605-21.
DOI Scopus116 WoS94
2022 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 and Energy Systems, 142(Part B), 108366-1-108366-12.
DOI Scopus15 WoS14
2021 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), 5245-5257.
DOI Scopus25 WoS18
2021 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.
DOI Scopus38 WoS31
2021 Pourmousavi Kani, S. (2021). Robust Flexible Unit Commitment in Network-Constrained Multicarrier Energy Systems. IEEE Systems Journal, 15(4), 5267-5276.
DOI Scopus19 WoS19
2021 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), 99-113.
DOI Scopus23 WoS14
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, 101879-1-101879-11.
DOI Scopus46 WoS38
2020 Pourmousavi Kani, S. A., Wild, P., & Saha, T. K. (2020). Improving Predictability of Renewable Generation through Optimal Battery Sizing. IEEE Transactions on Sustainable Energy, 11(1), 37-47.
DOI Scopus43 WoS32
2020 De Zotti, G., Pourmousavi Kani, S., Morales, J. M., Madsen, H., & Poulsen, N. K. (2020). 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.
DOI Scopus40 WoS33
2019 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.
DOI Scopus32 WoS29
2018 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.
DOI Scopus11 WoS10
2018 De Zotti, G., Pourmousavi, S. A., 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.
DOI Scopus43 WoS37
2018 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.
DOI Scopus123 WoS111
2016 Kordkheili, R. A., Pourmousavi, S. A., Savaghebi, M., Guerrero, J. M., & Nehrir, M. H. (2016). Assessing the potential of plug-in electric vehicles in active distribution networks. Energies, 9(1), 34-1-34-17.
DOI Scopus17 WoS16
2015 Pourmousavi, S. A., Nehrir, M. H., & Sharma, R. K. (2015). Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response. IEEE Transactions on Smart Grid, 6(3), 1185-1195.
DOI Scopus83 WoS70
2014 Pourmousavi, S. A., Patrick, S. N., & Nehrir, M. H. (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.
DOI Scopus152 WoS124
2014 Pourmousavi, S. A., & Nehrir, M. H. (2014). Introducing dynamic demand response in the LFC model. IEEE Transactions on Power Systems, 29(4), 1562-1572.
DOI Scopus181 WoS150
2012 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.
DOI Scopus250 WoS212
2011 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.
DOI Scopus16 WoS16
2011 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.
DOI Scopus181 WoS156
2010 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.
DOI Scopus226 WoS170

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).
DOI Scopus4

Year Citation
2025 Mominul Islam, S. M., Ranjbar, H., Pourmousavi, S. A., & Soong, W. L. (2025). Sustainable and cost-effective microgrid sizing methodology for mining operations considering reliability and energy not-served. In Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE, 2024) (pp. 1-6). Dubrovnik, Croatia: IEEE.
DOI Scopus1 WoS2
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 (pp. 226-236). Online: ACM.
DOI WoS1
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.
DOI Scopus1 WoS1
2023 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.
DOI Scopus4
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.
DOI Scopus7 WoS8
2022 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.
DOI
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.
DOI Scopus2 WoS2
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.
DOI Scopus7 WoS3
2021 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.
DOI Scopus6 WoS3
2020 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.
DOI Scopus28 WoS18
2019 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.
DOI Scopus5 WoS5
2019 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.
DOI Scopus2
2019 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.
DOI Scopus66
2019 Azim, M. L., Pourmousavi, S. A., Tushar, W., & Saha, T. K. (2019). Feasibility Study of Financial P2P Energy Trading in a Grid-tied Power Network. In 2019 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM (pp. 5 pages). GA, Atlanta: IEEE.
WoS8
2018 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.
DOI Scopus27 WoS9
2018 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.
DOI Scopus1
2018 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.
DOI Scopus11
2018 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.
DOI Scopus6 WoS5
2016 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.
DOI Scopus1
2016 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.
DOI Scopus2
2016 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.
DOI Scopus17 WoS3
2014 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.
DOI Scopus8 WoS5
2013 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.
DOI Scopus10 WoS2
2012 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.
DOI Scopus37
2012 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 (pp. 1-6). IEEE.
DOI Scopus13
2012 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 (pp. 1-8). IEEE.
DOI Scopus27
2012 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.
DOI
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 (pp. 1-6). IEEE.
DOI Scopus40
2011 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 (pp. 1-6). IEEE.
DOI Scopus24
2010 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.
DOI Scopus75 WoS10
2008 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.
DOI Scopus52 WoS2
2007 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.
DOI Scopus5

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.

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., Guo, M., Lemos-Vinasco, J., & Liisberg, J. A. R. (2023). On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details..
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.
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..
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..
2021 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..
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..
Date Project/ No. Investigators Funding Body Amount
2024 National Industry PhD Round 4: 2 PhD funded CI Australian Department of Education, The University of Adelaide, OptiGrid Pty Ltd $367K
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

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Principal Supervisor Unified approach for price prediction and battery operation in the Australian National Electricity Market Doctor of Philosophy Doctorate Full Time Mr Sepehr Karimi
2025 Principal Supervisor Unified approach for price prediction and battery operation in the Australian National Electricity Market Doctor of Philosophy Doctorate Full Time Mr Sepehr Karimi
2023 Co-Supervisor Explainable, Transparent and Trustworthy Data-Driven, Modelling of Underground Electric Mining Trucks Doctor of Philosophy Doctorate Full Time Miss Tamsa .
2023 Co-Supervisor Explainable, Transparent and Trustworthy Data-Driven, Modelling of Underground Electric Mining Trucks Doctor of Philosophy Doctorate Full Time Miss Tamsa .
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
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 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 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 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

Date Role Research Topic Program Degree Type Student Load Student Name
2021 - 2025 Principal Supervisor Aggregated Prosumer Flexibility: An Integrated Approach from Data to Effective Demand Response Program Doctor of Philosophy Doctorate Full Time Mr Rui Yuan
2021 - 2025 Principal Supervisor Modelling Consumer Behaviour and Optimising Community Battery for
Improved Efficiency in Local Energy Community
Doctor of Philosophy Doctorate Full Time Mr Trong Nam Dinh
2021 - 2025 Principal Supervisor Vanadium Redox Flow Battery Modelling for Effective BMS and EMS Design Doctor of Philosophy Doctorate Full Time Mr Hao Wang

Date Role Research Topic Location Program Supervision Type Student Load Student Name
2019 - 2022 External Supervisor V2G and G2V operation within local market environment Northumbria University, United Kingdom - Doctorate Full Time Mahsa Bagheri Tookanlou
2019 - 2022 Co-Supervisor Artificial Intelligence for Flexible Energy Systems Operation Technical University of Denmark (DTU) - Doctorate Full Time Emma Margareta Viktoria Blomgren
2019 - 2021 Co-Supervisor Aggregator role at distribution networks Technical University of Denmark (DTU) - Doctorate Full Time Julian Lemos Vinasco
2019 - 2022 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

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