Session Materials

Improving the Accuracy of RES Generation Forecast to Ensure Their Reliable Operation in the Power System

Ref D2-10831-2024 • 2024
  • Price for member: 20 €
  • Price for non member: 30 €
Improving the Accuracy of RES Generation Forecast to Ensure Their Reliable Operation in the Power System

Summary

Session Delegates (Members and non-members): access these materials for free via your Session registration account.

Additional informations

Publication type Session Materials
Reference D2-10831-2024
Publication year
Publisher CIGRE
Study committees
  • Information Systems, Telecommunications and Cybersecurity (D2)
File size 294 KB
Price for non member 30 €
Price for member 20 €

Authors

Irina BOBRITSKAYA, Aleksandr KRYMOV, Alexey ARKHIPOV

Keywords

big data, machine learning, RES, forecasting

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Improving the Accuracy of RES Generation Forecast to Ensure Their Reliable Operation in the Power System
Improving the Accuracy of RES Generation Forecast to Ensure Their Reliable Operation in the Power System