Accounting &
Forecasting system
A comprehensive solution for SPP accounting and forecasting
PV Forecast
FORECASTING SYSTEM ACCURACY
The use of artificial intelligence in KNESS Forecast allows to improve accuracy of SPP generation forecasts, increasing plant operational lifetime. Margin of error in a forecast system for a new plant is about 18-20%, to forecast SPP generation for the next day. Adjustment of forecast schedule allows to decrease the margin of error to 9-12%
Operation algorithm
Meteorological parameters collection Meteo Soft
Data collection on Service Meteo Soft
SPP forecast Forecast Soft
Submission of the forecast to the GB Distribution Soft


Commercial electricity metering


Learn more

Hryhorii Hutsol
head of the group for electricity volumes forecasting
+38 067 497 81 18
Hotline
(Call us free from mobile and landline phones):
0800 306 878