Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network.
Hyung-Jun MoonSeok-Jun BuSung-Bae ChoPublished in: ICDM (Workshops) (2020)
Keyphrases
- learning algorithm
- knowledge acquisition
- learning tasks
- prior knowledge
- reinforcement learning
- machine learning
- recurrent networks
- learning process
- artificial neural networks
- supervised learning
- online learning
- network model
- network architecture
- real estate
- fully connected
- spiking neural networks
- connectionist networks