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Output forecast
Manage variability with accurate 14-day power output forecasts. Get insights for battery management and trading. Reduce grid penalties and plan power plant maintenance.
![[Predict the output] of your solar power project](https://files.solargis.com/public/solution-output-forecast-banner__FitWzE1OTUsNzIwXQ.jpg)
Intraday forecasting is increasingly important for PV plant operators seeking to optimize battery management and energy trading.
Solargis provides short-term forecasts to help you understand power output for the coming hours.
These forecasts enable you to manage the charging and discharging of batteries to smooth variability, and shift noon power production to evening hours.
Day-ahead forecasting for a single PV project or a PV project portfolio allows you to better prepare your power production plans, both for submission to the grid operator and for trading.
Improved predictability of power plant operations and higher forecast accuracy reduce the risk of penalties from grid operators due to under- or over-delivery of electricity to the grid.
Solargis data supports forecasting of power output up to 14 days in advance.
With a strong understanding of the future energy output of your power plant, you can schedule maintenance work for times that will have the smallest impact on revenue.
For example, technical maintenance can be scheduled to take place during periods of cloudy weather with lower energy output. Or you can plan for drone mapping when you expect sunny weather and clear skies.
Power forecasting data is essential for supplying reliable services to the local energy grid.
Solargis forecasting can help you drive better organization among energy system actors and plan around your production for the coming days.
It enables you to better understand your ability to supply ancillary grid balancing services and enhance your relationship with the grid operator.
This web service provides recent and forecasted data for solar power plants in operation.
Be in the know about the future thanks to the forecasted solar radiation, meteorological parameters, and PV energy production data.
Just as there are horses for courses, different forecasting techniques are more suitable depending on the intended forecast lead time.
As solar projects grow in size and number, the challenges of integrating them successfully into national grids increase as well. The intermittency of solar energy requires careful management, and solar developers that under- or over-produce face curtailment and penalties from grid operators.
In this webinar, we will present how 1-minute granularity data can also help with optimal sizing of batteries and replacement strategy— even during the initial design phase.
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Coverage of the world’s population with 30 years of solar and meteorological data
