The Power of Training: How Different Neural Network Setups Influence the Energy Demand.
Daniel GeißlerBo ZhouMengxi LiuSungho SuhPaul LukowiczPublished in: CoRR (2024)
Keyphrases
- neural network
- electrical energy
- training algorithm
- energy supply
- training process
- feed forward neural networks
- multi layer perceptron
- back propagation
- neural network training
- solar energy
- training patterns
- energy consumption
- backpropagation algorithm
- power consumption
- power supply
- feedforward neural networks
- training set
- energy management
- test set
- data center
- energy conservation
- artificial neural networks
- energy efficiency
- total energy
- electricity markets
- energy saving
- train a neural network
- energy minimization
- genetic algorithm
- prediction model
- neural network model
- electric vehicles
- recurrent networks
- error back propagation
- renewable energy
- fault diagnosis
- semi supervised
- neural network structure
- training speed
- learning algorithm
- training data
- support vector machine
- supervised learning
- training samples
- training phase
- self organizing maps
- radial basis function
- distribution network
- multilayer perceptron
- neural nets