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title: README
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short_description: Data Repository for Synthetic Smart Meter Data
---
# About OpenSynth
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.
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.
# About the Data Repository
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.
# 2025 Update
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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