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Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks
April 25, 2024, 7:42 p.m. | Andres Tello, Huy Truong, Alexander Lazovik, Victoria Degeler
cs.LG updates on arXiv.org arxiv.org
Abstract: Currently, the number of common benchmark datasets that researchers can use straight away for assessing data-driven deep learning approaches is very limited. Most studies provide data as configuration files. It is still up to each practitioner to follow a particular data generation method and run computationally intensive simulations to obtain usable data for model training and evaluation. In this work, we provide a collection of datasets that includes several small and medium size publicly available …
abstract arxiv benchmark cs.ai cs.lg data data-driven datasets deep learning distribution files networks researchers scale studies type water
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