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Must-read papers on GNN for Power Systems

Please, feel free to contribute to this list by making a pull request.

Content

1-. GNN applications in Energy
2-. Power flow
3-. Fault detection
4-. Power prediction

GNN applications in Energy

  • A Review of Graph Neural Networks and Their Applications in Power Systems. arXiv CoRR, 2021. [paper] Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, and Yusen Wang

Power flow

  • Power Flow Approximation Based on Graph Convolutional Networks. IEEE ICMLA, 2020. [paper] Valentin Bolz, Johannes Rueß, Andreas Zell

  • Neural networks for power flow: Graph neural solver. Elsevier Electric Power Systems Research, 2019. [paper] BalthazarDonon, Rémy Clément, Benjamin Donnot

  • Optimal Power Flow Using Graph Neural Networks. IEEE ICASSP, 2020. [paper] Damian Owerko, Fernando Gama, Alejandro Ribeiro.

  • Graph Convolutional Neural Networks for Optimal Load Shedding under Line Contingency. IEEE PESGM, 2020. [paper] Cheolmin Kim, Kibaek Kim, Prasanna Balaprakash, Mihai Anitescu

Fault detection

  • Predicting Power Outages Using Graph Neural Networks. IEEE GlobalSIP, 2020. [paper] Damian Owerko, Fernando Gama, Alejandro Ribeiro

  • Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks. IEEE Journal on Selected Areas in Communication, 2018. [paper] Kunjin Chen, Jun Hu, Yu Zhang, Zhanqing Yu, Jinliang He

  • Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. IEEE ICPHM, 2019. [paper] Hamed Khorasgani, Arman Hasanzadeh, Ahmed Farahat, Chetan Gupta

  • Fault Classification in Photovoltaic Arrays Using Graph Signal Processing. IEEE ICPS, 2020. [paper] Jie Fan, Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias

  • Fault diagnosis of power transformers using graph convolutional network. IEEE CSEE Journal of Power and Energy Systems, 2020. [paper] Wenlong Liao, D. Yang, Y. Wang

Power prediction

  • Superposition Graph Neural Network for offshore wind power prediction. Elsevier Future Generation Computer Systems, 2020. [paper] Mei Yu, Zhuo Zhang, Xuewei Li, Jian Yu

  • Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting. IEEE Transactions on Sustainable Energy, 2018. [paper] Mahdi Khodayar, Jianhui Wang

  • Residential Power Forecasting Using Load Identification and Graph Spectral Clustering. IEEE Transactions on Circuits and Systems II, 2019. [paper] Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajić

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