Wind and Solar Power Forecasts Services
As wind and solar power installations continue to expand, meteorological conditions gain a fundamental influence on energy production. Solar irradiance and wind speed determine the volume and composition of wind and solar power production, renewed at every moment. As experts in the interface between meteorology and the power economy, energy & meteo systems delivers groundbreaking solutions for precise predictions, marketing, and grid integration from fluctuating wind and solar power. Currently, we deliver worldwide power forecasts for solar and wind power plants with a total installed capacity of around 500 GW.
- real-time projections for solar power, including behind-the-meter generation
- grid-oriented forecasts (vertical grid load forecasts and dynamic line rating)
In furthering the goal of efficient monitoring and data management, we present our web-based customer portal, allowing you to capture your measurement and prediction data at a glance. We offer power predictions according to your specifications and our 24/7 on-call service is at your disposal should the need arise.
Precise forecasts of wind and solar power generation for power traders, plant and grid operators belong to our core competencies. With our prediction systems Previento and Suncast, we deliver precise forecasts of the wind and solar power input for any on- and offshore sites worldwide as well as for control zones and grid node levels. By optimally combining weather models, we predict power output from 5 minutes to 15 days in advance at a high time resolution and with a very short-term adaptation to online measurements.
Whether you are an energy provider, power trader or grid operator, Previento and Suncast can efficiently integrate the fluctuating input from wind and solar energy into your daily business both technically and economically.
In order to calculate a qualified solar or wind power forecast, Previento and Suncast utilize numerical data from all leading weather services, making use of their individual strengths. The complex calculation model applied here obtains a high degree of forecasting accuracy through the optimal combination of various weather models, together with the integration of the surrounding wind and solar farm terrain.
Our time-tested KombiBox procedure gives a higher priority to those forecasts having the lowest prediction error in a respective weather situation.
Moreover, Previento and Suncast calculate the uncertainty associated with a given prediction situation, in addition to the actual prediction value. This is because the accuracy of forecasts varies according to the weather situation.