Our team has a diverse background. We’ve compiled relevant publications from their expertise that contributes to the scope of CLEAN EARTH. We invite you to read their publications.
- Y. Liu, P. Ren, J. B. Zhao, J. Liu, “Real-time Topology Estimation for Active Distribution System using Graph-bank Tracking Bayesian Networks,” IEEE Trans. Industrial Informatics, 2022.
- D. Cao, J. B. Zhao, W. Hu, Z. Chen, “Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process,” IEEE Trans. Smart Grid, 2022.
- K. Ye, J. B. Zhao, N. Duan, D. Maldonado, “Stochastic Power System Dynamic Simulation and Stability Assessment Considering Dynamics from Correlated Loads and PVs,” IEEE Trans. Industry Applications, 2022.
- K. Ye, J. B. Zhao, N. Duan, Y. Zhang, “Physics-Informed Sparse Gaussian Process for Probabilistic Stability Analysis of Large-Scale Power System with Dynamic PVs and Loads,” IEEE Trans. Power Systems, 2022.
- K. Ye, J. B. Zhao, H. Zhang, Y. Zhang, “Data-Driven Probabilistic Voltage Risk Assessment of MiniWECC System with Uncertain PVs and Wind Generations using Realistic Data,” IEEE Trans. Power Systems, vol. 37, no. 5, pp. 4121-4124, 2022.
- H. Wang, K. Hou, J. B. Zhao, X. Yu, H. Jia, Y. Mu, “Planning-Oriented Resilience Assessment and Enhancement of Integrated Electricity-gas System Considering Multi-type Natural Disasters“, Applied Energy, 2022.
- S. Ashtiani, F. Vahedifard, M. Ghartemani, J. B. Zhao, A. AghaKouchak, “Performance Degradation of Levee-Protected Electric Power Network due to Flooding in a Changing Climate,” IEEE Trans. Power Systems, 2022.
- B. Tan, J. B. Zhao, N. Duan, D. Adrian Maldonado, Y. Zhang, H. Zhang, M. Anitescu, “Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia from DFIGs,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 12, no. 1, pp. 161-171, 2022.
- H. Hu, S. Yu, J. B. Zhao, T. K. Chau, F. Ding, T. Fernando, “MPC-based Double-layer Real-time Conditional Self-restoration for Interconnected Microgrids,” International Journal of Electrical Power and Energy Systems, Vol. 129, no. 106745, 2021.
- Z. Liu, K. Hou, H. Jia, J. B. Zhao, Y. Mu, “A Lagrange Multiplier Based State Enumeration Reliability Assessment for Power Systems with Multiple Types of Loads and Renewable Generations,” IEEE Trans. Power Systems, vol. 36, no. 4, pp. 3260-3270, 2021.
- X. Lu, K. Hou, H. Jia, J. B. Zhao, L. Mili, D. Wang, “A Planning-oriented Resilience Assessment Frameworkfor Transmission Systems under Typhoon Disasters,” IEEE Trans. Smart Grid, vol. 11, no. 6, pp. 5431–5441, 2020.
- Cerrai, D., Wanik, D.W., Bhuiyan, M.A.E., Zhang, X., Yang, J., Frediani, M.E. and Anagnostou, E.N., 2019. Predicting storm outages through new representations of weather and vegetation. IEEE Access, 7, pp.29639-29654.
- Wanik, D.W., Anagnostou, E.N., Astitha, M., Hartman, B.M., Lackmann, G.M., Yang, J., Cerrai, D., He, J. and Frediani, M.E.B., 2018. A case study on power outage impacts from future hurricane sandy scenarios. Journal of Applied Meteorology and Climatology, 57(1), pp.51-79.
- Yang, F., Wanik, D.W., Cerrai, D., Bhuiyan, M.A.E. and Anagnostou, E.N., 2020. Quantifying uncertainty in machine learning-based power outage prediction model training: A tool for sustainable storm restoration. Sustainability, 12(4), p.1525.
- Cerrai, D., Koukoula, M., Watson, P. and Anagnostou, E.N., 2020. Outage prediction models for snow and ice storms. Sustainable Energy, Grids and Networks, 21, p.100294.
- Cerrai, D., Watson, P. and Anagnostou, E.N., 2019. Assessing the effects of a vegetation management standard on distribution grid outage rates. Electric Power Systems Research, 175, p.105909.
- Alpay, B.A., Wanik, D., Watson, P., Cerrai, D., Liang, G. and Anagnostou, E., 2020. Dynamic modeling of power outages caused by thunderstorms. Forecasting, 2(2), pp.151-162.
- Watson, P.L., Cerrai, D., Koukoula, M., Wanik, D.W. and Anagnostou, E., 2020. Weather‐related power outage model with a growing domain: structure, performance, and generalisability. The Journal of Engineering, 2020(10), pp.817-826.
- Yang, F., Cerrai, D. and Anagnostou, E.N., 2021. The effect of lead-time weather forecast uncertainty on outage prediction modeling. Forecasting, 3(3), pp.501-516.
- Hughes, W., Zhang, W., Cerrai, D., Bagtzoglou, A., Wanik, D. and Anagnostou, E., 2022. A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation. Reliability Engineering & System Safety, p.108628.
- Taylor, W.O., Watson, P.L., Cerrai, D. and Anagnostou, E., 2022. A statistical framework for evaluating the effectiveness of vegetation management in reducing power outages caused during storms in distribution networks. Sustainability, 14(2), p.904.
- Taylor, W.O., Watson, P.L., Cerrai, D. and Anagnostou, E.N., 2022. Dynamic modeling of the effects of vegetation management on weather-related power outages. Electric Power Systems Research, 207, p.107840.
- Udeh, K., Wanik, D.W., Cerrai, D., Aguiar, D. and Anagnostou, E., 2022, January. Autoregressive Modeling of Utility Customer Outages with Deep Neural Networks. In 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0406-0414). IEEE.
- Cerrai, D., Watson, P., Yang, F., Koukoula, M. and Anagnostou, E., 2020. Storm Power Outage Prediction and Verification using NWP Models and Remote Sensing Data. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 3943-3946). IEEE.