Publications

[41] Ghorashi, S. M., Khazaei, J., & Kishore, S. (2025). Multi-task Deep Learning Economic Dispatch of Microgrids with Electric Vehicles and Renewables. Sustainable Energy, Grids and Networks, 101766. (Link) 

[40] Shadaei, M., Putri, S., Moazeni, F., and Khazaei, J., (2025). Microgrid Power Sharing: Adaptive vs. Nonlinear Predictive Models. IEEE Transactions on Industry Applications, (early access). 

[39] Zhang, Zh., Khazaei, J., & Blum, R. (2025). Adaptive Sparse Regression for Data-Driven Modeling and Control of Grid-Connected DFIG Wind Turbines, IEEE Transactions on Industrial Electronics (early access).  

[38] Zhang, Zhongtian., Khazaei, J., & Moazeni, F., Tesi, P, De Persis, C. (2025). Direct Data-driven Control of Grid-Connected DERs using Taylor Series Expansion. Electric Power System Research, (early access).  

[37] Bediako, L. A., Hosseinipour, A., & Khazaei, J. (2025). Improving Inverter-based Resource Resilience: Neural Network Control for Virtual Synchronous Generator Damping. Electric Power System Research (early access). 

[36] Raza, N., Khazaei, J., & Moazeni, F. (2025). Machine learning models for the economic dispatch of islanded micro water-energy systems. Energy Conversion and Management, 336, 119827.  (Link)

[35] Wyckoff, K., Moazeni, F., Khazaei, J., & Banerjee, A. (2025). Economic dispatch of offshore renewable energy resources for islanded communities with optimal storage sizing. Renewable Energy, 241, 122153.  (Link).  

[34] E. Jamalinia, Z. Zhang, J. Khazaei and R. S. Blum, "Data-Driven Dynamic State Estimation of Photovoltaic Systems via Sparse Regression Unscented Kalman Filter," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3507953 (Link).  

[33] Jamalinia, E., Khazaei, J., & Blum, R. S. (2024). Data-driven dynamic state estimation in power systems via sparse regression unscented Kalman filter. Sustainable Energy, Grids and Networks, 101571 (Link). 

[32] Shadaei, M., & Khazaei, J. (2024). Dynamic Resilience Evaluation of DC Microgrids: Integrating Real-time Metrics with Lyapunov-based Stability Assessment. IEEE Transactions on Transportation Electrification.  (Link)

[31] Ge, X., & Khazaei, J. (2024). Physics-informed convolutional neural network for microgrid economic dispatch. Sustainable Energy, Grids and Networks, 101525.  (Link)

[30] Putri, S. A., Shadaei, M., Moazeni, F., & Khazaei, J. (2024). Stability and Feasibility-Driven Predictive Control for Next-Generation Naval Microgrids. IEEE Transactions on Transportation Electrification (Link).

[29] Hosseinipour, A., Zhang, Z., & Khazaei, J. (2024). Operational Resilience Assessment in DC Shipboard Microgrids: A Short-Term Energy Imbalance Approach Based on Frequency-Domain Metrics. IEEE Transactions on Smart Grid.  (Link)

[28]  Putri, S. A., Moazeni, F., & Khazaei, J. (2024). Data-driven predictive control strategies of water distribution systems using sparse regression. Journal of Water Process Engineering, 59, 104885. (Link)

[27]  Shadaei, M., Khazaei, J., & Moazeni, F. (2024). Data-Driven Nonlinear Model Predictive Control for Power Sharing of Inverter-based Resources. IEEE Transactions on Energy Conversion. (Link)

[26] Hosseinipour, A., & Khazaei, J. (2023). Sparse Identification for Data-Driven Dynamics and Impedance Modeling of Power Converters in DC Microgrids. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. (Link)

[25] Fang, X., & Khazaei, J. (2023). A Two-Stage Deep Learning Approach for Solving Microgrid Economic Dispatch. IEEE Systems Journal. (Link)

[24] Putri, S. A., Moazeni, F., & Khazaei, J. (2023). Predictive control of interlinked water-energy microgrids. Applied Energy, 347, 121455. (Link)

[23] Hosseinipour, A., & Khazaei, J. (2023). A multifunctional complex droop control scheme for dynamic power management in hybrid DC microgrids. International Journal of Electrical Power & Energy Systems, 152, 109224.  (Link)

[22] Khazaei, J., & Hosseinipour, A. (2023). Data-Driven Feedback Linearization Control of Distributed Energy Resources using Sparse Regression. IEEE Transactions on Smart Grid. (Link)

[21] He, Z., Khazaei, J., & Freihaut, J. D. (2022). Optimal integration of Vehicle to Building (V2B) and Building to Vehicle (B2V) technologies for commercial buildings. Sustainable Energy, Grids and Networks, 32, 100921. (Link)

[20] Khazaei, J., & Moazeni, F. (2022). Neural networks-based detection of line overflow cyberattacks on AC state-estimation of smart grids. IEEE Systems Journal, 17(2), 2399-2410. (Link)

[19] Tu, Z., Fan, B., Khazaei, J., Zhang, W., & Liu, W. (2022). Optimal reset-control-based load frequency regulation in isolated microgrids. IEEE Transactions on Sustainable Energy, 13(4), 2239-2249. (Link)

[18] Moazeni, F., & Khazaei, J. (2022). Detection of random false data injection cyberattacks in smart water systems using optimized deep neural networks. Energies, 15(13), 4832.  (Link)

[17] He, Z., Khazaei, J., Moazeni, F., & Freihaut, J. D. (2022). Detection of false data injection attacks leading to line congestions using Neural networks. Sustainable Cities and Society, 82, 103861.  (Link)

[16] Moazeni, F., & Khazaei, J. (2021). Formulating false data injection cyberattacks on pumps’ flow rate resulting in cascading failures in smart water systems. Sustainable Cities and Society, 75, 103370. (Link)

[15] Khazaei, J., & Amini, M. H. (2021). Protection of large-scale smart grids against false data injection cyberattacks leading to blackouts. International Journal of Critical Infrastructure Protection, 35, 100457. (Link)

[14] Moazeni, F., & Khazaei, J. (2021). Interactive nonlinear multiobjective optimal design of water distribution systems using Pareto navigator technique. Sustainable Cities and Society, 73, 103110. (Link)

[13] Khazaei, J., & Asrari, A. (2021). Second-order cone programming relaxation of stealthy cyberattacks resulting in overvoltages in cyber-physical power systems. IEEE Systems Journal, 16(3), 4267-4278. (Link)

[12] Khazaei, J., Alkaf, M., & Zhao, J. (2021). Convex optimization of cyberattacks overflowing multiple lines in cyber-physical power systems. IEEE Systems Journal, 16(4), 5224-5233. (Link)

[11] Moazeni, F., & Khazaei, J. (2021). Co-optimization of wastewater treatment plants interconnected with smart grids. Applied energy, 298, 117150. (Link)

[10] Khazaei, J. (2021). Cyberattacks with limited network information leading to transmission line overflow in cyber–physical power systems. Sustainable Energy, Grids and Networks, 27, 100505. (Link)

[9] Imteaj, A., Khan, I., Khazaei, J., & Amini, M. H. (2021). Fedresilience: A federated learning application to improve resilience of resource-constrained critical infrastructures. Electronics, 10(16), 1917. (Link)

[8] Moazeni, F., & Khazaei, J. (2021). Sequential false data injection cyberattacks in water distribution systems targeting storage tanks; a bi-level optimization model. Sustainable Cities and Society, 70, 102895.  (Link)

[7] Nguyen, D. H., & Khazaei, J. (2021). Unified distributed control of battery storage with various primary control in power systems. IEEE Transactions on Sustainable Energy, 12(4), 2332-2341. (Link)

[6] Moazeni, F., & Khazaei, J. (2021). Optimal design and operation of an islanded water-energy network including a combined electrodialysis-reverse osmosis desalination unit. Renewable Energy, 167, 395-408. (Link)

[5] Moazeni, F., Khazaei, J., & Asrari, A. (2021). Step towards energy-water smart microgrids; buildings thermal energy and water demand management embedded in economic dispatch. IEEE Transactions on Smart Grid, 12(5), 3680-3691. (Link)

[4] Asrari, A., Ansari, M., Khazaei, J., & Cecchi, V. (2021). Decentralized outages prevention: A remedial action scheme for cyberattacks targeting market retailers in smart distribution systems. IEEE Transactions on Industrial Informatics, 17(12), 8207-8218. (Link)

[3] Moazeni, F., & Khazaei, J. (2021). Optimal energy management of water-energy networks via optimal placement of pumps-as-turbines and demand response through water storage tanks. Applied Energy, 283, 116335. (Link)

[2] Khazaei, J., Tu, Z., Asrari, A., & Liu, W. (2021). Feedback linearization control of converters with LCL filter for weak AC grid integration. IEEE Transactions on Power Systems, 36(4), 3740-3750. (Link)

[1] Khazaei, J. (2021). Optimal flow of mvdc shipboard microgrids with hybrid storage enhanced with capacitive and resistive droop controllers. IEEE Transactions on Power Systems, 36(4), 3728-3739. (Link)

[31] Putri, S., Moazeni, F., Khazaei, J. Resilience-Informed Economic Nonlinear Model Predictive Control for Interdependent Water–Energy Microgrids . ASCE EWRI, May 2025 (Link)

[30]  Iwakin, O., Moazeni, F. Khazaei, J. Stochastic Economic Dispatch for Combined Water–Energy Microgrid Systems Considering Data-Driven Scenario Generation Approach . EWRI World Environmental & Water Resources Congress, May 2025 (Link)

[29] Raza, N., Moazeni, F., Khazaei, J. Near Real-Time Economic Dispatch Forecast of Islanded Water–Energy Microgrid Systems Using LSTM Neural Networks. ASCE EWRI, May 2025.  (Link)

[28] Zhang, S., & Khazaei, J. (2024, May). Data-Centric Theories and Singular Value Decomposition (SVD) for Identification of Inverter-Based Resources. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 793-798). IEEE. (Link)

[27] Khazaei, J. (2024, May). Data-Centric Modeling of Inverter-Based Resources using Systems Behavioral Theories. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 197-202). IEEE. (Link)

[26] Bediako, L. A., Hosseinipour, A., & Khazaei, J. (2024, May). Improving Inverter-based Resource Resilience: Neural Network Control for Virtual Synchronous Generator Damping. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 448-454). IEEE. (Link)

[25] Putri, S. A., Moazeni, F., Khazaei, J., Hu, Z., De Persis, C., & Tesi, P. (2024, May). Data Driven System Identification of Water Distribution Systems via Kernel-Based Interpolation. In World Environmental and Water Resources Congress 2024 (pp. 283-296). (Link)

[24] Hosseinipour, A., Nguyen, S., Valentine, J., Terek, W., & Khazaei, J. (2024, April). Development of an Equivalent Fault Model for the Grid-Interlinking Converter of DC Microgrids to Predict Fault Resilience. In 2024 IEEE Rural Electric Power Conference (REPC) (pp. 39-45). IEEE. (Link)

[23] Shadaei, M., Putri, S. A., Moazeni, F., & Khazaei, J. (2024, May). Microgrid Power Sharing: Adaptive vs. Nonlinear Predictive Models. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 545-551). IEEE. (Link)

[22] Zhang, Z., Khazaei, J., & Blum, R. S. (2024, May). Harnessing Adaptive Sparsity: Data-Driven Control for Solar PV Generation. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 603-608). IEEE. (Link)

[21] Jamalinia, E., Khazaei, J., & Blum, R. S. (2024, May). Data-Driven Dynamic State Estimation of Synchronous Generators via Sparsity Promoting Unscented Kalman Filtering. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 558-563). IEEE. (Link)

[20] Hosseinipour, A., Shadaei, M., & Khazaei, J. (2023). Operational Resilience Assessment: A Frequency-Domain Approach for DC Microgrids. arXiv preprint arXiv:2312.03576. (Link)

[19] Putri, S., Ge, X., Moazeni, F., & Khazaei, J. (2023). Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients. arXiv preprint arXiv:2312.03604. (Link)

[18] Ge, X., Hosseinipour, A., Putri, S., Moazeni, F., & Khazaei, J. (2024, May). Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network. In 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) (pp. 1-7). IEEE. (Link)

[17] Putri, S., Hosseinipour, A., Ge, X., Moazeni, F., & Khazaei, J. (2024, July). Voltage Restoration in MVDC Shipboard Microgrids with Economic Nonlinear Model Predictive Control. In 2024 American Control Conference (ACC) (pp. 1038-1043). IEEE. (Link)

[16] Ge, X., Norouzi, K., Moazeni, F., Sehic, M., Khazaei, J., Venkitasubramaniam, P., & Blum, R. (2023). Vulnerability of Building Energy Management against Targeted False Data Injection Attacks: Model Predictive Control vs. Proportional Integral. arXiv preprint arXiv:2312.03588. (Link)

[15] Putri, S. A., Jiang, M., Moazeni, F., & Khazaei, J. (2023, July). MIMO Model Predictive Control for Demand Management in Islanded Water-Energy Microgrids. In 2023 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. (Link)

[14] Hosseinipour, A., Khazaei, J., & Blum, R. S. (2023, July). A Data-Driven Framework for Sparse Impedance Identification of Power Converters in DC Microgrids. In 2023 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.  (Link)

[13] Shadaei, M., Moazeni, F., & Khazaei, J. (2023, June). Probabilistic Microgrid Economic Dispatch via Economic Model Predictive Control Considering Weather and Load Data Uncertainty. In 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-6). IEEE. (Link)

[12] Khazaei, J., Liu, W., & Moazeni, F. (2023, June). Data-driven sparse model identification of inverter-based resources for control in smart grids. In 2023 11th International Conference on Smart Grid (icSmartGrid) (pp. 1-6). IEEE. (Link)

[11] Khazaei, J., & Moazeni, F. (2023, May). Model Identification of Distributed Energy Resources Using Sparse Regression and Koopman Theory. In 2023 IEEE PES GTD International Conference and Exposition (GTD) (pp. 33-38). IEEE. (Link)

[10] Moazeni, F., & Khazaei, J. (2023). Data-Enabled Identification of Nonlinear Dynamics of Water Systems using Sparse Regression Technique. IFAC-PapersOnLine, 56(2), 2389-2394. (Link)

[9] Asrari, A., Naderi, E., Khazaei, J., Fajri, P., & Cecchi, V. (2022). Modern heat and electricity incorporated networks targeted by coordinated cyberattacks for congestion and cascading outages. Coordinated Operation and Planning of Modern Heat and Electricity Incorporated Networks, 115-155. (Link)

[8] Khazaei, J., & Blum, R. S. (2022). Model-free distributed control of dynamical systems. International Journal of Information and Communication Engineering, 16(10), 466-471.  (Link)

[7] He, Z., Khazaei, J., Moazeni, F., & Freihaut, J. (2021, November). Neural networks-based detection of cyber-physical attacks leading to blackouts in smart grids. In 2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) (pp. 1-6). IEEE. (Link)

[6] Sadat-Mohammadi, M., Khazaei, J., & Asadi, S. (2021, November). Uuncertainty-based scheduling of multi-chiller system with thermal energy storage under real-time prices. In 2021 IEEE Green Energy and Smart Systems Conference (IGESSC) (pp. 1-5). IEEE. (Link)

[5] Khazaei, J. (2021, July). Detection of cyber-physical attacks aiming at multi transmission line congestions using dynamic state-estimation. In 2021 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. (Link)

[4] Khazaei, J. (2021, July). Optimal flow of MVDC shipboard power systems using second-order cone programming relaxation. In 2021 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. (Link)

[3] Huynh, T. N., & Khazaei, J. (2021, April). Stability Analysis of Grid-Connected Flyback Converter for PV Power Applications. In 2020 52nd North American Power Symposium (NAPS) (pp. 1-6). IEEE.  (Link)

[2] Li, Z., & Khazaei, J. (2021, April). SSR Mitigation of DFIG Wind Power Plants Using Virtual Synchronous Generator Control. In 2020 52nd North American Power Symposium (NAPS) (pp. 1-6). IEEE. (Link)

[1] Sajadi, R., & Khazaei, J. (2021, April). Small-signal analysis of cascaded multilevel H-bridge inverter for PV integration. In 2020 52nd North American Power Symposium (NAPS) (pp. 1-6). IEEE. (Link)