Comparing Long Short-Term Memory (LSTM) and Bidirectional LSTM Deep Neural Networks for power consumption prediction.
Davi Guimarães da SilvaAnderson Alvarenga de Moura MenesesPublished in: CoRR (2023)
Keyphrases
- recurrent neural networks
- long short term memory
- power consumption
- neural network
- low power
- feed forward
- energy efficiency
- power management
- power saving
- artificial neural networks
- battery powered
- battery life
- prediction model
- energy saving
- energy management
- power reduction
- data center
- real time
- genetic algorithm
- neural network model
- user experience
- back propagation
- pattern recognition
- signal processing
- fuzzy logic