GLASS Dataset: Generative-AI Large-customer Smart-meter Samples

This dataset contains synthetic daily load profiles for large-customer smart meters, produced by a flow-matching generative model. Each row represents a single day of a single synthetic sample: 96 power values at 15-minute resolution (in kW), conditioned on customer category, generation type, scenario, and consumption/generation level.


This dataset is published as part of [OpenSynth](https://lfenergy.org/projects/opensynth/), an [LF Energy](https://lfenergy.org/) project that democratizes synthetic energy data to accelerate the decarbonization of global energy systems. The dataset is hosted on [HuggingFace](https://huggingface.co/OpenSynth) and [SURF 4TU Data Repository](https://data.4tu.nl/) and generated using the [SmartMeterFM](https://github.com/sentient-codebot/SmartMeterFM) model trained on [Liander N.V.](https://www.liander.nl/) smart meter data of large customers. These are "grootverbruikers" according to the Dutch Energy law that have a grid connection with capacity between 60 and 160 kW.