Accounting &
Forecasting system

A comprehensive solution for SPP accounting and forecasting
PV Forecast
  • Providing meteorological parameters forecast from several sources for each solar power plant location (Meteo Soft).
  • Storing meteorological parameters forecasts on secure Cloud Storage with mirror sites.
  • Development, operation and improvement of software for collecting and storing the latest information on SPP maintenance service (Service Soft).
  • Service data storage on secure Cloud Storage with mirror sites.
  • Development and improvement of software for SPP generation forecasting that uses artificial intelligence to process information on meteorological parameters and service data (Forecast Soft).
  • SPP generation forecasts storage on secure Cloud Storage with mirror sites. 
  • Application of software for submission and updating SPP generation forecasts to a Guaranteed Buyer (Distribution Soft).
  • Artificial intelligence training for every single plant considering its features.
  • Responsibility for correctness of SPP forecasts submission.

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
  • ASCOE maintenance instructions are executed according to the requirements of Electrical Installation Regulations, Electrical Safety Regulations:
  • Daily remote reading of metering instruments, processing of indexes and submission of listed drafts to related subjects (regional power distribution company), local offices of Private Join-Stock Company “NPС UKRENERGO” (ES), MMS platform, SC “Guaranteed Buyer”:

    • 30818 (counters data at the end of the day);
    • 30917 (half-hour schedule of production per day, kW per hour);
    • 30817 (hourly schedule of production per day, kW per hour, MW per hour);
    • 10011 (forecast production for the next day for ES);

  • Daily actual data upload to MMS platform.

  • Uploading of forecast volumes “one day in advance” to the SC “Guaranteed Buyer’s” server.
  • Submission of data to ІОК of Chief operator through the Internet by means of VPN technology with the use of set of protocols IPSec in Site-to-Site Tunnel mode.
  • Packet encryption to be performed according to AES standard with 256 bit key length.
  • Preparation of electricity indexes reconciliation acts for every ten-day period in a billing month.
  • Preparation of certificate on the electricity production and supply in a billing month, signing and submitting of verified data to Private Join-Stock Company “NPС UKRENERGO”.
  • Uploading to MMS system daily validated data of electricity commercial accounting as regular release of version 2 for all days of a billing month.
  • Obtaining and checking main and adjustment acts from SC “Guaranteed Buyer”.
Облік сонячної електростанції
Learn more
Hryhorii Hutsol

head of the group for electricity volumes forecasting

+38 067 497 81 18


(Call us free from mobile and landline phones):

0800 306 878


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