The National Grid Electricity System Operator (NGESO) has teamed up with the non-profit organization Open Climate Fix to develop an artificial intelligence (AI)-powered tracking system that can match the movement of clouds with the exact locations of solar panels. The aim of the collaboration is to improve the accuracy of solar energy forecasting, which will help reduce carbon emissions and create a more sustainable energy future.

Solar energy is a rapidly growing source of renewable energy, but it faces one major obstacle: variability. Solar panels rely on the sun's energy to generate electricity, but that energy can be disrupted by cloud cover. When clouds move in front of the sun, solar panel output can drop suddenly, creating a challenge for energy grid operators who need to maintain a steady supply of electricity.

NGESO is responsible for managing the electricity grid in England, Scotland, and Wales and ensuring that the electricity supply matches demand at all times. To do this, NGESO needs accurate forecasting tools that can predict the amount of electricity that will be generated by renewable sources like solar power. This is where Open Climate Fix comes in.

Open Climate Fix is a non-profit organization that uses AI to tackle climate change. The organization's focus is on developing and deploying open-source, machine learning solutions that can help reduce greenhouse gas emissions. The organization has developed a tool called Solar PV Nowcasting, which uses satellite data to predict the output of solar panels in real time.

The new collaboration between NGESO and Open Climate Fix will build on this work by creating a more advanced system that can match cloud movements with the exact locations of solar panels. The system will use machine learning algorithms to analyze satellite data and predict when and where cloud cover is likely to occur. This will allow NGESO to forecast solar panel output more accurately, which will help balance the electricity grid and reduce the need for fossil fuel backup power.

The benefits of this collaboration are significant. By improving solar energy forecasting, NGESO can reduce carbon emissions and create a more sustainable energy future. The use of AI to match cloud movements with solar panel locations is a significant step forward in renewable energy forecasting and management. The collaboration between NGESO and Open Climate Fix is an excellent example of how technology can be used to tackle climate change and create a more sustainable world.

The exact locations of solar panels is an exciting development for the renewable energy industry. By improving solar energy forecasting, the collaboration will help reduce carbon emissions and create a more sustainable energy future. It is a step forward in renewable energy forecasting and management.