Artificial Intelligence

AMI-Enabled Phase Identification through a Modified Clustering Algorithm

Z. S. Hosseini, A. Khodaei, A. Paaso, “AMI-Enabled Phase Identification through a Modified Clustering Algorithm,” IEEE Transactions on Power Systems, In press, 2020.

Artificial Intelligence Assisted Power Grid Hardening in Response to Extreme Weather Events

R. Eskandarpour†, A. Khodaei, E. A. Paaso, and M. Abdullah, “Artificial Intelligence Assisted Power Grid Hardening in Response to Extreme Weather Events,” CIGRE Grid of the Future Symposium, Reston, VA, Oct. 2018.

AMI-Enabled Distribution Network Line Outage Identification via Multi-Label SVM

Z. Hosseini, M. Mahoor, A. Khodaei, “AMI-Enabled Distribution Network Line Outage Identification via Multi-Label SVM,” IEEE Power Engineering Letters, vol. 9, no. 5, pp. 5470-5472, Sep. 2018.

Data Fusion and Machine Learning Integration forTransformer Loss of Life Estimation

M. Mahoor†, and A. Khodaei, “Data Fusion and Machine Learning Integration forTransformer Loss of Life Estimation,” IEEE PES Transmission and Distribution Conference and Exposition, Denver, CO, Apr. 2018.

Leveraging Accuracy-Uncertainty Tradeoff in SVM to Achieve Highly Accurate Outage Predictions

R. Eskandarpour, and A. Khodaei, “Leveraging Accuracy-Uncertainty Tradeoff in SVM to Achieve Highly Accurate Outage Predictions,” IEEE Power Engineering Letters, vol. 33, no. 1, pp. 1139-1141, Jan. 2018.

Leveraging Sensory Data in Estimating Transformer Lifetime

M. Mahoor†, A. Majzoobi†, Z. Hosseini† and A. Khodaei, “Leveraging Sensory Data in Estimating Transformer Lifetime,” North American Power Symposium, Morgantown, WV, Sep. 2017.

Component Outage Estimation based on Support Vector Machine

R. Eskandarpour†, and A. Khodaei, “Component Outage Estimation based on Support Vector Machine, IEEE PES General Meeting,” Chicago, IL, Jul. 2017.

Machine Learning Applications in Estimating Transformer Loss of Life

A. Majzoobi†, M. Mahoor†, and A. Khodaei, “Machine Learning Applications in Estimating Transformer Loss of Life,” IEEE PES General Meeting, Chicago, IL, Jul. 2017.

Event-Driven Security-Constrained Unit Commitment with Component Outage Estimation Based on Machine Learning Method

R. Eskandarpour†, A. Khodaei, J. Lin, “Event-Driven Security-Constrained Unit Commitment with Component Outage Estimation Based on Machine Learning Method,” North American Power Symposium, Denver, CO, September 2016.

Day-Ahead Solar Forecasting Using Time Series Stationarization and Feed-Forward Neural Network

M. Alanazi†, and A. Khodaei, “Day-Ahead Solar Forecasting Using Time Series Stationarization and Feed-Forward Neural Network,” North American Power Symposium, Denver, CO, September 2016.