The reliability of the U.S. electric system underpins virtually every sector of the modern U.S. economy. Reliable electricity access is essential for daily activities, and disruptions can critically affect facilities, potentially leading to life-threatening situations. For example, Hurricane Maria in 2017 caused a prolonged outage in Puerto Rico, underscoring the need to strengthen grid resilience. The centralized architecture of the current power grid presents vulnerabilities that can be mitigated through decentralized approaches, such as networked microgrids. Significant progress has been achieved in the development of networked microgrid systems. This paper presents a patented framework that integrates power outage prediction with blockchain？based trading to enhance system resilience. The predictive model increases the demand offered for trading when a power outage is predicted. This research evaluates the impact of a machine？learning？based outage prediction model on the resilience of a secure transactive platform for networked microgrids. Preliminary results show a 36% increase in resiliency compared with similar systems that operate without such a prediction model.
References
[1]
Minkel, J.R. (2008) The 2003 Northeast Blackout—Five Years Later. Scientific American. https://www.scientificamerican.com/article/2003-blackout-five-years-later/
Holyoke Gas & Electric (2026) Understanding Your HG&E Bill. https://www.hged.com/services/payments/bill-overview.aspx
[4]
Asmus, P. (2010) Microgrids, Virtual Power Plants and Our Distributed Energy Future. The Electricity Journal, 23, 72-82. https://doi.org/10.1016/j.tej.2010.11.001
[5]
Resilience of the U.S. Electricity System: A Multi-Hazard Perspective. https://www.energy.gov/policy/downloads/resilience-us-electricity-system-multi-hazard-perspective
[6]
Dyson, M. and Li, B. (2020) Reimagining Grid Resilience. 84. https://rmi.org/app/uploads/2020/07/reimagining_grid_resilience_july2020.pdf
[7]
Kumar, N.M., Chand, A.A., Malvoni, M., Prasad, K.A., Mamun, K.A., Islam, F.R., et al. (2020) Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids. Energies, 13, Article No. 5739. https://doi.org/10.3390/en13215739
[8]
Abaas, M., Singh, P. and Lee, R. (2021) Blockchain Applications in Smart Grid Systems. 2020 52nd North American Power Symposium (NAPS), Tempe, 11-13 April 2021, 1-6. https://doi.org/10.1109/naps50074.2021.9449754
[9]
Nakayama, K., Moslemi, R. and Sharma, R. (2019) Transactive Energy Management with Blockchain Smart Contracts for P2P Multi-Settlement Markets. 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington DC, 18-21 February 2019, 1-5. https://doi.org/10.1109/isgt.2019.8791652
[10]
Mollah, M.B., Zhao, J., Niyato, D., Lam, K., Zhang, X., Ghias, A.M.Y.M., et al. (2021) Blockchain for Future Smart Grid: A Comprehensive Survey. IEEE Internet of Things Journal, 8, 18-43. https://doi.org/10.1109/jiot.2020.2993601
[11]
Musleh, A.S., Yao, G. and Muyeen, S.M. (2019) Blockchain Applications in Smart Grid—Review and Frameworks. IEEE Access, 7, 86746-86757. https://doi.org/10.1109/access.2019.2920682
[12]
Zhang, P. (2021) Networked Microgrids. Cambridge University Press.
[13]
Panteli, M., Trakas, D.N., Mancarella, P. and Hatziargyriou, N.D. (2016) Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding. IEEE Transactions on Smart Grid, 7, 2913-2922. https://doi.org/10.1109/tsg.2016.2535228
[14]
Galvan, E., Mandal, P., Chakraborty, S. and Saber, A.Y. (2018) Efficient Transactive Control for Energy Storage Management System in Prosumer-Centric Networked Microgrids. 2018 North American Power Symposium (NAPS), Fargo, 9-11 September 2018, 1-6. https://doi.org/10.1109/naps.2018.8600679
[15]
Dzobo, O., Malila, B. and Sithole, L. (2021) Proposed Framework for Blockchain Technology in a Decentralised Energy Network. Protection and Control of Modern Power Systems, 6, Article No. 31. https://doi.org/10.1186/s41601-021-00209-8
[16]
Thomas, L., Long, C., Burnap, P., Wu, J. and Jenkins, N. (2017) Automation of the Supplier Role in the GB Power System Using Blockchain-Based Smart Contracts. CIRED-Open Access Proceedings Journal, 2017, 2619-2623. https://doi.org/10.1049/oap-cired.2017.0987
[17]
Flores-Espino, F., Giraldez, J. and Pratt, A. (2020) Networked Microgrid Optimal Design and Operations Tool: Regulatory and Business Environment Study. National Renewable Energy Laboratory. https://docs.nlr.gov/docs/fy20osti/70944.pdf
[18]
Liu, Z., Wang, L. and Ma, L. (2020) A Transactive Energy Framework for Coordinated Energy Management of Networked Microgrids with Distributionally Robust Optimization. IEEE Transactions on Power Systems, 35, 395-404. https://doi.org/10.1109/tpwrs.2019.2933180
[19]
Qiu, Y. and Wu, W. (2025) Joint Optimization Scheduling Strategy for Low-Carbon Multi-Energy Microgrid Considering Energy Sharing. 2025 IEEE International Conference on Power and Integrated Energy Systems (ICPIES), Haikou, 7-9 April 2025, 355-360. https://doi.org/10.1109/ICPIES65420.2025.11070125
[20]
Sabounchi, M. and Wei, J. (2017) Towards Resilient Networked Microgrids: Blockchain-Enabled Peer-to-Peer Electricity Trading Mechanism. 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, 26-28 November 2017, 1-5. https://doi.org/10.1109/ei2.2017.8245449
[21]
Abaas, M., Lee, R.A. and Singh, P. (2022) Long Short-Term Memory Customer-Centric Power Outage Prediction Models for Weather-Related Power Outages. 2022 IEEE Green Energy and Smart System Systems (IGESSC), Long Beach, 7-8 November 2022, 1-6. https://doi.org/10.1109/igessc55810.2022.9955338
What’s the Difference between a Critical and Non-Critical Load? https://www.riello-ups.com/questions/38-what-s-the-difference-between-a-critical-and-non-critical-load
[25]
Consulting-Specifying Engineer (2015) Emergency and Standby Power in Hospitals. https://www.csemag.com/articles/emergency-and-standby-power-in-hospitals/
[26]
U.S. Department of Energy. https://www.energy.gov
[27]
NREL (2022) REopt Web Tool | REopt Energy Integration & Optimization. https://reopt.nlr.gov/tool
[28]
https://blueskymodel.org/kilowatt-hour
[29]
Historical Hourly Weather Data 2012-2017. https://kaggle.com/selfishgene/historical-hourly-weather-data
[30]
DOE OE-417 Annual Summaries. https://openenergyhub.ornl.gov/explore/dataset/oe-417-annual-summaries/information/
