Photovoltaics
PV forecasts based on solar irradiance, cloud cover and temperature, for ground-mounted and rooftop installations.
Generation forecasts for wind, solar and hydroelectric power
Plant-specific feed-in forecasts based on weather, site and measurement data, generated automatically and updated intraday. For direct marketing, dispatch management and your portfolio.
Influencing factors
Factors that go into a good generation forecast
Wind and sunshine cannot be planned, but they can be predicted accurately. It is crucial that weather data, the site and the plant’s technical specifications are taken into account individually for each plant, and that the forecast is continuously updated.
- Weather forecasts: solar irradiance, cloud cover, temperature, wind
- Plant location
- Historical feed-in trends and current measurement values
- Availability and curtailment
Energy sources
Dedicated models for each type of generation
Sun, wind and water are governed by different laws. That is why mP Xnergy uses separate models and separate influencing factors for each type of generation.
Wind energy
Wind forecasts based on weather and site data, for individual turbines and entire wind farms.
Hydropower
Forecasts for run-of-river and pumped-storage hydroelectric power stations, as well as other generation facilities in the portfolio.
Here’s how it works
From weather forecasts to timetables, with no manual work required
Add assets
mP Profiler automatically adds new assets, along with their master data, to the portfolio.
Include weather information
Up-to-date weather forecasts are automatically incorporated for each location.
Calculate a forecast
For each investment individually, updated intraday and freely aggregatable.
Submit result
Via an interface to trading, timetable and portfolio systems.