Low-dimensional representation of monthly electricity demand profiles.
Joaquín LuqueEnrique PersonalFrancisco PérezMaría del Carmen Romero TerneroCarlos LeónPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- low dimensional
- feature representation
- high dimensional
- demand forecasting
- input space
- dimensionality reduction
- manifold learning
- pattern recognition
- high dimensional data
- latent space
- electricity markets
- dimension reduction
- unit commitment
- low dimensionality
- face recognition
- principal component analysis
- data points
- multiscale