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A fork of @wanjunhuang's repository for the DeepOPF-V machine learning approach to solving AC optimal power flow. This is part of a repository being used to compare different machine learning approaches to AC OPF using datasets generated with OPF-Learn.

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Codes and data for DeepOPF-V.

Platform: Pytorch

Real-time load data for IEEE 300-bus system can be found in [2].

Training and testing samples for the uploaded code can be found in [3].

Reference:

[1] W. Huang, X. Pan, M. Chen, and S. H. Low, "DeepOPF-V: Solving AC-OPF Problems Efficiently," arXiv preprint arXiv:2103.11793, 2021.

[2] Y. Tang, K. Dvijotham, and S. Low, "Real-time optimal power flow," IEEE Trans. Smart Grid, vol. 8, no. 6, pp. 2963-2973, 2017.

[3] Huang, Wanjun (2021): Dataset of DeepOPF-V: Modified IEEE 300-bus system with real-time load data. figshare. Dataset. https://doi.org/10.6084/m9.figshare.14906499.v1.

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A fork of @wanjunhuang's repository for the DeepOPF-V machine learning approach to solving AC optimal power flow. This is part of a repository being used to compare different machine learning approaches to AC OPF using datasets generated with OPF-Learn.

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