QUARTZ SOLAR
USERS
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ENERGY TRADERS
Solar variability can be key in setting prices on high solar days. Having access to an accurate, early forecast as soon as possible via a dashboard or API is almost like cheating.
SOLAR FARMS
Inaccurate forecasts can result in owners losing 5% of a solar farm’s revenues each year. Site level and national forecasts which learn from history allow offtake owners to reduce losses and volatility.
SMART HOMES
Smart homes aim to maximise self-consumption of solar energy through clever electricity and battery use. Granular, site-level solar forecasts that learn from local history, let them optimise energy use minute to minute.
CASE STUDY
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How We Help National Grid Deal With The Rapid Rise Of Renewable Energy
National Grid-Electricity System Operator (ESO) manages the UK’s electricity transmission grid, balancing tens of gigawatts of electricity supply and demand every minute.
“Embedded solar is one of the biggest sources of uncertainty in our net demand forecast, but it's crucial to our operations"
Lyndon Ruff
AI Centre of Excellence Manager
National Grid ESO
So National Grid ESO and Open Climate Fix combined forces to reduce the uncertainty through improved solar forecasting.
Combining real-time satellite imagery with weather and solar generation data in a cutting edge AI powered model delivered three times the accuracy.
“National Grid ESO has worked closely with Open Climate Fix to develop this AI solar forecasting solution... It helps control room engineers reduce balancing costs and emissions.”
Lyndon Ruff
AI Centre of Excellence Manager
National Grid ESO
