Session Materials

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

Ref D2-11304-2024 • 2024
  • This publication is free only for CIGRE members
  • 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 Free

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