Predicting Residential Energy Consumption by Explainable Deep Learning with Long-Term and Short-Term Latent Variables.

Jin-Young Kim Sung-Bae Cho

Published in: Cybern. Syst. (2023)

Keyphrases

latent variables
energy consumption
deep learning
long term and short term
energy saving
probabilistic model
wireless sensor networks
energy efficient

energy efficiency
random variables
sensor networks
unsupervised learning
topic models
hierarchical model
machine learning
sensor nodes

routing protocol
prior knowledge
energy conservation
weakly supervised
hidden variables
approximate inference
data center
total energy

mental models
probabilistic graphical models
model selection
databases
maximum likelihood
text mining
residual energy