intial commit

LICENSE

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+This is not an official Google product.
+
+GridOpt is a synthetic dataset. It is not intended for, and has not been validated for, real-world use. No reliance should be placed on its precision or accuracy as a proxy for real-world data or applicability to real-world optimal power flow problems.
+
+Copyright 2024 DeepMind Technologies Limited. 
+
+Grid Opt License
+
+Licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0) (the “License”). You may obtain a copy of the License at https://creativecommons.org/licenses/by/4.0/legalcode.
+
+Unless required by applicable law or agreed to in writing, all materials distributed under the License are distributed on an "AS IS” BASIS, WITHOUT REPRESENTATIONS, WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

README

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+GridOpt is a large dataset of solved Optimal Power Flow (OPF) problems.
+The source of the original problems is the [pglib-opf](https://github.com/power-grid-lib/pglib-opf/) dataset.
+
+Example problems are generated by perturbing the load and the topology of the original problem.
+They are solved using the [PowerModels.jl](https://github.com/lanl-ansi/PowerModels.jl) package and [IPOPT](https://coin-or.github.io/Ipopt/) solver.
+See the associated [technical report](https://arxiv.org/abs/2406.07234) for details on the dataset generation.
+
+Each grid contains 300k solved examples with only load perturbations, and 300k solved examples with topological perturbations, where a line/transformer/generator is removed randomly.
+
+Users of GridOpt are encouraged to cite the original source documents indicated in the [pglib-opf file headers](https://github.com/power-grid-lib/pglib-opf/) and [arxiv report](https://arxiv.org/abs/1908.02788).

README.md

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-license: cc-by-4.0
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