Forecasting the Short-Term Metro Ridership With Seasonal and Trend Decomposition Using Loess and LSTM Neural Networks.
Dewang ChenJianhua ZhangShixiong JiangPublished in: IEEE Access (2020)
Keyphrases
- short term
- neural network
- long term
- recurrent neural networks
- short term prediction
- forecasting model
- load forecasting
- electric load forecasting
- short term and long term
- pattern recognition
- artificial neural networks
- medium term
- long term memory
- back propagation
- wind power
- stock market
- multilayer perceptron
- feed forward
- neural network model
- arima model
- short and long term
- genetic algorithm
- power generation
- motion prediction
- back propagation neural network
- feed forward neural networks
- activation function
- bp neural network
- soft computing
- fuzzy logic