|
--- |
|
title: README |
|
emoji: ⚡ |
|
colorFrom: green |
|
colorTo: pink |
|
sdk: static |
|
pinned: false |
|
license: cdla-permissive-2.0 |
|
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. |
|
|
|
|
|
|
|
|