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| title: README |
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| license: cdla-permissive-2.0 |
| short_description: Data Repository for Synthetic Smart Meter Data |
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| # About OpenSynth |
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| Access to smart meter data is essential to rapid and successful energy transitions. Researchers, modelers |
| and policymakers need to understand how energy demand profiles are changing, in a system that requires |
| greater real time optimization of demand and supply on the grid. Yet current global energy modeling and |
| policymaking is still largely based on static and highly aggregated data from the past – when energy flowed |
| in one direction, consumer profiles were relatively predictable, and power generation was highly controllable. |
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| OpenSynth is building a community for holders of raw smart meter (i.e. demand) data to generate and share |
| synthetic data and models that can be used by researchers, industry innovators and policy-makers. |
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| # About the Data Repository |
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| This repository contains synthetic smart meter dataset generated and contributed by organisations |
| with access to synthetic smart meter data themselves, using methods described in OpenSynth's model |
| repository: https://github.com/OpenSynth-energy/OpenSynth. |
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| # 2025 Update |
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| To extend OpenSynth beyond demand datasets, the project now includes D-GITT (Detailed Grid Inner Topology Timeseries) with its first major dataset, RTE7000, an open-source detailed topology description of the French transmission system, released by RTE, France’s transmission system operator. The dataset provides 5-minute resolution snapshots in node-breaker topology, spanning 2021–2023. |
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