Session Materials

State-of-the-Art Algorithms for short-term residential Load forecasting for Smart Grids

Ref D2-11304-2024 • 2024
  • Price for member: 20 €
  • Price for non member: 30 €
State-of-the-Art Algorithms for short-term residential Load forecasting for Smart Grids

Summary

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

Additional informations

Publication type Session Materials
Reference D2-11304-2024
Publication year
Publisher CIGRE
Study committees
  • Information Systems, Telecommunications and Cybersecurity (D2)
File size 773 KB
Price for non member 30 €
Price for member 20 €

Authors

Vasileios LAITSOS, Georgios VONTZOS, Georgios LOUKOS, Paschalis PARASCHOUDIS, Sotiris CHRISTOPOULOS, Konstantinos KAOUSIAS, Katerina DRIVAKOU, Despoina MAKRYGIORGOU, Dimitrios BARGIOTAS

Keywords

Energy, Residential Load Consumption, Electricity Forecasting, Long Short-Term Memory, Multilayer Perceptron

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State-of-the-Art Algorithms for short-term residential Load forecasting for Smart Grids
State-of-the-Art Algorithms for short-term residential Load forecasting for Smart Grids