A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids.
Chun-Nam YuPiotr MirowskiTin Kam HoPublished in: IEEE Trans. Smart Grid (2017)
Keyphrases
- demand forecasting
- sparse coding
- dictionary learning
- natural images
- historical data
- sparse representation
- linear combination
- image classification
- unsupervised learning
- supply chain
- generative model
- image representation
- forecasting accuracy
- image patches
- feature space
- water resources
- higher order
- visual words
- long term
- least squares
- neural network
- high dimensional
- decision trees
- data mining