Session Materials

Efficient Identification of Customer Types in Energy Consumption Data: Leveraging Dimensionality Reduction and K-Means Clustering Method

Ref C6-11443-2024 • 2024
  • Price for member: 20 €
  • Price for non member: 30 €
Efficient Identification of Customer Types in Energy Consumption Data: Leveraging Dimensionality Reduction and K-Means Clustering Method

Summary

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

Additional informations

Publication type Session Materials
Reference C6-11443-2024
Publication year
Publisher CIGRE
Study committees
  • Active distribution systems and distributed energy resources (C6)
File size 2 MB
Price for non member 30 €
Price for member 20 €

Authors

Leonie RIEDL, Martin BRAUN, Philip HEHLERT

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Efficient Identification of Customer Types in Energy Consumption Data: Leveraging Dimensionality Reduction and K-Means Clustering Method
Efficient Identification of Customer Types in Energy Consumption Data: Leveraging Dimensionality Reduction and K-Means Clustering Method