Press
In its inaugural year, the Manchester Prize called upon the ingenuity of innovators, academics, entrepreneurs, and disruptors to submit their solutions utilising AI for public benefit. The prize garnered nearly 300 entries from UK-led teams, showcasing a diverse array of groundbreaking ideas.
DSIT has selected 12 green AI initiatives to receive a share of £1m. Among them is Open Climate Fix, which is developing an AI system to support the connection of solar electricity to the energy grid.
Great to be name-checked by Google DeepMind as a project using AI to address climate change. We love that Sims Witherspoon sees the opportunity that we see, of AI being used outside of the largest tech firms can ensure transparency and accelerate the application of AI solutions to climate and other SDGs.
With the help of Open Climate Fix, a British-based nonprofit product lab, the control room of the National Grid Electricity System Operator (ESO) is testing AI models that provide granular, near-term forecasts of sunny and cloudy conditions over the country’s solar panels.
We are delighted to be invited to be part of this AI for good project sponsored by the Commonwealth Secretariat. Our experience shows that our open-source solar forecasting platform not only lowers energy generation costs but also delivers significant carbon reductions by reducing fossil fuel use in balancing power grids. We have designed our platform to be globally scalable, and being open source, local engineers can tailor the AI model and data inputs to their specific climates, allowing AI to act locally to have a global climate impact.
With the help of Open Climate Fix, a nonprofit product lab, the control room of the National Grid Electricity System Operator (ESO) is testing AI models that provide granular, near-term forecasts of sunny and cloudy conditions over the country’s solar panels.
Ex-DeepMinder Jack Kelly's nonprofit Open Climate Fix is backed by Google. What it does: Open Climate Fix is a London-based nonprofit "focused entirely on helping the energy community to reduce greenhouse gas emissions at scale," according to the organization's website.
State-of-the-art solar PV generation forecast for individual PV systems Led by Open Climate Fix. Developing a state-of-the-art open-source method for forecasting power generation from solar photovoltaic systems. This will help solar farms, solar storage, and smart homes to optimise and manage their systems, reducing both costs and CO2 emissions.
A few weeks ago, the Centre for Net Zero invited Jack Kelly, co-founder of Open Climate Fix and ex-DeepMind engineer, and Dr Ramit Debnath, former Gates Scholar and Fellow at the University of Cambridge, to join us at the launch of en_tech_talks to answer this question.
Open Climate Fix (OCF) founded by Kelly in 2019, it aims to use AI and satellite imagery to forecast cloud movements much earlier than existing tech, enabling the National Grid to use solar energy more efficiently.
This morning Google.org, the philanthropic arm of Google, announced the successful applicants to the Google.org Impact Challenge on Climate. The challenge commits €10M to fund “bold ideas that aim to use technology to accelerate Europe’s progress toward a greener, more resilient future”...

From our blog:

Lazy loading: Making it easier to access vast datasets of weather & satellite data
AI has developed at a stunning pace over the last few years in fields such as natural language processing and image recognition. Given all this development, it's surprising that we haven't seen similarly rapid advancement in the application of AI to electricity forecasting given its critical role in people's lives and the transition to net zero carbon emissions. We'd love to live in a world where it's super-easy to work with huge NWP and satellite datasets. We are already dedicating significant time and effort towards this, and would love to hear from people who support this vision and who can help!
Can AI Supercharge the Potential of Solar Power?
Open Climate Fix and Alan Turing Institute are working on a project to predict cloud cover and solar energy generation.
READ MORE