We unlock energy data: https://weave.energy
This repository holds the data pipeline and technical documentation for Weave, a project by the Centre for AI and Climate and CEIMIA. Our mission is to accelerate the application of artificial intelligence and machine learning to climate problems. To do this, we're trying to improve access to valuable energy datasets, starting with granular smart meter data from UK electricity distribution network operators (DNOs). This dataset is valuable because it's the largest and most granular dataset of real domestic energy consumption anywhere in the world. We think it can help understand and potentially predict electricity demand in novel ways.
We have developed this iteratively, releasing alpha and beta versions previously, but we are now at a relatively stable version, which this repository represents. Importantly, this is also an open-source project and we welcome external contributions.
You do not need to run this code to get the data, this repository is the data pipeline that builds GeoParquet files and uploads them to our Amazon S3 bucket. Data is freely available from there, see https://weave.energy or the examples in our docs for more details.
If you'd like to contribute to weave, see our documentation or our issues list for something to get stuck into.