A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data.
Serdar ArslanPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- energy consumption
- forecasting model
- wireless sensor networks
- short term
- energy efficient
- energy efficiency
- energy conservation
- energy saving
- sensor networks
- bp neural network
- support vector regression
- data transmission
- save energy
- data center
- prediction model
- base station
- sensor nodes
- long term
- electricity consumption
- routing protocol
- multi hop
- power management
- machine learning
- environmental impact
- ls svm
- back propagation
- energy aware
- least squares
- artificial intelligence
- neural network
- stability margin
- power consumption
- residual energy
- high dimensional