OPF-aware data distillation can approximate optimal DER dispatches using a small subset of smart meter features, e.g., within about 5% error on a 1,136-bus feeder with 116 of 1,038 features, though reported errors are computed on training data.
Learning to solve the AC-OPF using sensitivity-informed deep neural networks,
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Solving Optimal Power Flow on a Data-Budget: Feature Selection on Smart Meter Data
OPF-aware data distillation can approximate optimal DER dispatches using a small subset of smart meter features, e.g., within about 5% error on a 1,136-bus feeder with 116 of 1,038 features, though reported errors are computed on training data.