M.S. AAI Capstone Chronicles 2024

ELECTRICITY DISTRIBUTION TOPOLOGY CLASSIFICATION

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Reference

Cook, E., Saleem, B. M., Weng, Y., Abate S., Kelly-Pitou, K., & Grainger, B. (2022). Density based clustering algorithm for associating transformers with smart meter via GPS-AMI data. International Journal of Electrical Power and Energy Systems, 142 (2022) 108291. EPIC Final Report: Data Analytics for Predictive Maintenance. (2023). Pacific Gas and Electric Company. https://www.pge.com/pge_global/common/pdfs/about-pge/environment/what we-are-doing/electric-program-investment-charge/EPIC-3.20-Final-Report.pdf Luan, W., Peng, J., Maras, M., Lo, J., & Harapnuk, B. (2015). Smart Meter Data Analytics for Distribution Network Connectivity Verification. IEEE Transactions on Smart Grid, VOL 6, NO. 4, July 2015, 1964-1971. MathWorks. (2024). Sequence Classification Using CNN-LSTM Network. MathWorks. https://www.mathworks.com/help/deeplearning/ug/sequence-classification-using-cnn-lstm network.html McGirr, T., Saha, O. (2023) Music Classification using Deep Learning. University of San Diego https://github.com/tmcgirr/AAI-511-Music SaskPower (2024). [AMI Meter Voltage Dataset with Transformer Label] [Unpublished raw data]. Saskatchewan Power Corporation. Tennakoon, R. N., Kulathilaka, A. T., Giri, R., Khafaf, N. A., Meegahapola, L., & Jalili, M. (2020, November 29 – December 3). Prediction of Customer Connectivity to Distribution Transformer via Application of Machine Learning Techniques to Smart-Meter Data [Conference presentation]. Australasian University Power Engineering Conference, AUPEC 2020, Hobart, TAS, Australia.

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