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@@ -189,48 +189,50 @@ Contact information for the dataset maintainers will be provided upon publicatio
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- [1] https://ieeexplore.ieee.org/abstract/document/9286772/
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- [2] https://ieeexplore.ieee.org/abstract/document/10213230
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- [3] https://www.sciencedirect.com/science/article/pii/S1364032118305537
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- [4] Subedi, Sunil, Manisha Rauniyar, Saima Ishaq, et al. 2021. “Review of Methods to Accelerate Electromagnetic Transient Simulation of Power Systems. IEEE Access 9: 8971431. https://doi.org/10.1109/ACCESS.2021.3090320.
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- [5] Moya, Christian, Shiqi Zhang, Guang Lin, and Meng Yue. 2023. “DeepONet-grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid’s Post-Fault Trajectories. Neurocomputing 535 (May): 16682. https://doi.org/10.1016/j.neucom.2023.03.015.
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- [6] Bossart, Matthew, Jose Daniel Lara, Ciaran Roberts, Rodrigo Henriquez-Auba, Duncan Callaway, and Bri-Mathias Hodge. 2025. “Acceleration of Power System Dynamic Simulations Using a Deep Equilibrium Layer and Neural ODE Surrogate. IEEE Transactions on Energy Conversion, 1–12. https://doi.org/10.1109/TEC.2025.3563142.
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- [7] Nadal, Ignasi Ventura, Jochen Stiasny, and Spyros Chatzivasileiadis. 2025. Physics-Informed Neural Networks: A Plug and Play Integration into Power System Dynamic Simulations. arXiv:2404.13325. arXiv. https://doi.org/10.48550/arXiv.2404.13325.
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- [8] Javaid, Muhammad Sharjeel, Balarko Chaudhuri, Fei Teng, and Zohaib Akhtar. 2026. “EMT-RMS Modeling Trade-Off for IBR-Driven Sub-Synchronous Oscillations. IEEE Transactions on Power Systems 41 (1): 425–37. https://doi.org/10.1109/TPWRS.2025.3588893.
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- [9] Stiasny, Jochen, Georgios S. Misyris, and Spyros Chatzivasileiadis. 2023. Transient Stability Analysis with Physics-Informed Neural Networks. arXiv:2106.13638. arXiv. https://doi.org/10.48550/arXiv.2106.13638.
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- [10] Karampinis, Ioannis, Petros Ellinas, Johanna Vorwerk, and Spyros Chatzivasileiadis. 2025. Neural Operators for Power Systems: A Physics-Informed Framework for Modeling Power System Components. arXiv:2511.05216. arXiv. https://doi.org/10.48550/arXiv.2511.05216.
212
 
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- [11] Ogiesoba-Eguakun, Osasumwen Cedric, Kaveh Ashenayi, and Suman Rath. 2026a. High-Fidelity Digital Twin Dataset Generation for Inverter-Based Microgrids Under Multi-Scenario Disturbances. arXiv:2603.10262. arXiv. https://doi.org/10.48550/arXiv.2603.10262.
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215
- [12] Li, Jiaming, Meng Yue, Yue Zhao, and Guang Lin. 2020. Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), November, 16. https://doi.org/10.1109/SmartGridComm47815.2020.9302975.
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- [13] Cheng, Tianshi, Ruogu Chen, Ning Lin, Tian Liang, and Venkata Dinavahi. 2025. “Machine-Learning-Reinforced Massively Parallel Transient Simulation for Large-Scale Renewable-Energy-Integrated Power Systems. IEEE Transactions on Power Systems 40 (1): 970–81. https://doi.org/10.1109/TPWRS.2024.3409729.
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- [14] Subedi, Sunil, Nischal Guruwacharya, Bidur Poudel, et al. 2023. Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics. arXiv:2310.02056. arXiv. https://doi.org/10.48550/arXiv.2310.02056.
220
 
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- [15] Huang, Qiuhua, and Vijay Vittal. 2016. “OpenHybridSim: An Open Source Tool for EMT and Phasor Domain Hybrid Simulation.” 2016 IEEE Power and Energy Society General Meeting (PESGM), 1–5.
222
 
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- [16] Jan Randewijk, Peter, Mathias Kristensen, and et al. 2026. Energinet-SimTools/MTB. Energinet-SimTools.
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- [17] https://ieeexplore.ieee.org/abstract/document/4118327
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- [18] https://ieeexplore.ieee.org/abstract/document/10226356
 
 
 
 
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- [19] https://www.energy.gov/sites/prod/files/2016/07/f33/2010-05-26%20TIAX%20CMELs%20Final%20Report_0.pdf
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- [20] https://www.alberta.ca/albertas-greenhouse-gas-emissions-reduction-performance
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- [21] https://natural-resources.canada.ca/energy-efficiency/transportation-energy-efficiency/personal-vehicles
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+ [1] Nikos Hatziargyriou, Jovica Milanovic, Claudia Rahmann, Venkataramana Ajjarapu, Claudio Canizares, Istvan Erlich, David Hill, Ian Hiskens, Innocent Kamwa, Bikash Pal, Pouyan Pourbeik, Juan Sanchez-Gasca, Aleksandar Stankovic, Thierry Van Cutsem, Vijay Vittal, and Costas Vournas. 2021. Definition and Classification of Power System Stability – Revisited & Extended. IEEE Transactions on Power Systems 36, 4 (2021), 3271–3281. https://doi.org/10.1109/TPWRS.2020.3041774
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+ [2] Jose Daniel Lara, Rodrigo Henriquez-Auba, Deepak Ramasubramanian, Sairaj Dhople, Duncan S. Callaway, and Seth Sanders. 2024. Revisiting Power Systems Time-Domain Simulation Methods and Models. IEEE Transactions on Power Systems 39, 2 (2024), 2421–2437. https://doi.org/10.1109/TPWRS.2023.3303291
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+ [3] Peter Lopion, Peter Markewitz, Martin Robinius, and Detlef Stolten. 2018. A review of current challenges and trends in energy systems modeling. Renewable and Sustainable Energy Reviews 96, (2018), 156–166. https://doi.org/10.1016/j.rser.2018.07.045
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+ [4] Sunil Subedi, Manisha Rauniyar, Saima Ishaq, Timothy M. Hansen, Reinaldo Tonkoski, Mariko Shirazi, Richard Wies, and Phylicia Cicilio. 2021. Review of Methods to Accelerate Electromagnetic Transient Simulation of Power Systems. IEEE Access 9, (2021), 89714–89731. https://doi.org/10.1109/ACCESS.2021.3090320
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+ [5] Christian Moya, Shiqi Zhang, Guang Lin, and Meng Yue. 2023. DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid’s post-fault trajectories. Neurocomputing 535, (2023), 166182. https://doi.org/10.1016/j.neucom.2023.03.015
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+ [6] Matthew Bossart, Jose Daniel Lara, Ciaran Roberts, Rodrigo Henriquez-Auba, Duncan S. Callaway, and Bri-Mathias Hodge. 2025. Acceleration of Power System Dynamic Simulations Using a Deep Equilibrium Layer and Neural ODE Surrogate. IEEE Transactions on Energy Conversion 40, 4 (2025), 27102722. https://doi.org/10.1109/TEC.2025.3563142
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+ [7] Ignasi Ventura Nadal, Jochen Stiasny, and Spyros Chatzivasileiadis. 2025. Physics-Informed Neural Networks: a Plug and Play Integration into Power System Dynamic Simulations. Electric Power Systems Research 248, (2025), 111885. https://doi.org/10.1016/j.epsr.2025.111885
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+ [8] Muhammad Sharjeel Javaid, Balarko Chaudhuri, Fei Teng, and Zohaib Akhtar. 2026. EMT-RMS Modeling Trade-Off for IBR-Driven Sub-Synchronous Oscillations. IEEE Transactions on Power Systems 41, 1 (2026), 425–437. https://doi.org/10.1109/TPWRS.2025.3588893
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+ [9] Jochen Stiasny, Georgios S. Misyris, and Spyros Chatzivasileiadis. 2023. Transient Stability Analysis with Physics-Informed Neural Networks. https://doi.org/10.48550/arXiv.2106.13638
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+ [10] Ioannis Karampinis, Petros Ellinas, Johanna Vorwerk, and Spyros Chatzivasileiadis. 2025. Neural Operators for Power Systems: A Physics-Informed Framework for Modeling Power System Components. https://doi.org/10.48550/arXiv.2511.05216
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+ [11] Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, and Suman Rath. 2026. High-Fidelity Digital Twin Dataset Generation for Inverter-Based Microgrids Under Multi-Scenario Disturbances. https://doi.org/10.48550/arXiv.2603.10262
213
 
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+ [12] Jiaming Li, Meng Yue, Yue Zhao, and Guang Lin. 2020. Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. In 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2020. 1–6. https://doi.org/10.1109/SmartGridComm47815.2020.9302975
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+ [13] Tianshi Cheng, Ruogu Chen, Ning Lin, Tian Liang, and Venkata Dinavahi. 2025. Machine-Learning-Reinforced Massively Parallel Transient Simulation for Large-Scale Renewable-Energy-Integrated Power Systems. IEEE Transactions on Power Systems 40, 1 (2025), 970981. https://doi.org/10.1109/TPWRS.2024.3409729
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+ [14] Sunil Subedi, Nischal Guruwacharya, Bidur Poudel, Jesus D. Vasquez-Plaza, Fabio Andrade, Robert Fourney, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen, and Reinaldo Tonkoski. 2023. Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics. https://doi.org/10.48550/arXiv.2310.02056
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+ [15] Qiuhua Huang and Vijay Vittal. 2016. OpenHybridSim: An open source tool for EMT and phasor domain hybrid simulation. In 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016. 1–5. https://doi.org/10.1109/PESGM.2016.7741233
221
 
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+ [16] 2026. Energinet-SimTools/MTB. Retrieved April 29, 2026 from https://github.com/Energinet-SimTools/MTB
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+ [17] Nagaraju Pogaku, Milan Prodanovic, and Timothy C. Green. 2007. Modeling, Analysis and Testing of Autonomous Operation of an Inverter-Based Microgrid. IEEE Transactions on Power Electronics 22, 2 (2007), 613–625. https://doi.org/10.1109/TPEL.2006.890003
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+ [18] Hamed Mohsenian-Rad and Wilsun Xu. 2023. Synchro-Waveforms: A Window to the Future of Power Systems Data Analytics. IEEE Power and Energy Magazine 21, 5 (2023), 68–77. https://doi.org/10.1109/MPE.2023.3288583
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+ [19] Kurtis McKenney, Matthew Guernsey, Ratcharit Ponoum, and Jeff Rosenfeld. 2010. Commercial Miscellaneous Electric Loads: Energy Consumption Characterization and Savings Potential in 2008 by Building Type. TIAX LLC. Retrieved from https://www.energy.gov/sites/prod/files/2016/07/f33/2010-05-26%20TIAX%20CMELs%20Final%20Report_0.pdf
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+
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+ [20] Environment and Protected Areas. 2026. Alberta’s greenhouse gas emissions reduction performance. Retrieved April 29, 2026 from https://www.alberta.ca/albertas-greenhouse-gas-emissions-reduction-performance
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+
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+ [21] Natural Resources Canada. 2019. Personal vehicles. Transportation energy efficiency. Retrieved April 29, 2026 from https://natural-resources.canada.ca/energy-efficiency/transportation-energy-efficiency/personal-vehicles
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