Deep Learning Surrogates For Low-Voltage Grid Expansion Planning
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How can deep-learning surrogates speed up low-voltage grid expansion planning without losing the system behavior that planners care about? Can we generate such models with completely open-sourced, verifiable datasets? Even if you are not into ML, maybe just our data-generation tool is interesting all by itself - the most fun I have ever had working on an idea.