OpenSynth – Grid ready synthetic demand data

Gus Chadney – Centre for Net Zero

Granular demand data is a critical component of grid modelling and a natural partner for GridFM, key to understanding load conditions and modelling different scenarios. We present Faraday, a generative algorithm to produce high-fidelity, synthetic load profiles that capture a wide range of consumer behaviours, and OpenSynth, an open source community to promote and accelerate adoption of this data as well as other AI ready datasets such as RTE’s grid topology dataset. By leveraging this synthetic data, GridFM can be effectively trained to understand complex grid dynamics, predict load flows, and simulate operational responses to various contingencies without compromising consumer privacy. This approach not only accelerates the development of a powerful, generalisable foundation model for diverse grid architectures but also provides a secure and scalable solution for advancing the capabilities of next-generation grid planning and operational tools.