Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting.
Weiwei FangWenhao ZhuoYouyi SongJingwen YanTeng ZhouJing QinPublished in: Neurocomputing (2023)
Keyphrases
- short term
- traffic flow
- deep learning
- distribution free
- long term
- normal distribution
- forecasting model
- unsupervised learning
- load forecasting
- cellular automata
- medium term
- machine learning
- recurrent neural networks
- mental models
- vc dimension
- wind power
- generalization error
- neural network
- reinforcement learning
- training data
- arima model