Short-term PM2.5 Forecasting with a Hybrid Model Based on Ensemble GRU Neural Network.
Wei JiangSongyan LiZefeng XieWanling ChenChoujun ZhanPublished in: INDIN (2020)
Keyphrases
- short term
- neural network
- long term
- electric load forecasting
- forecasting model
- short term prediction
- akaike information criterion
- short term and long term
- medium term
- chaotic time series
- load forecasting
- stock market
- back propagation
- short and long term
- training data
- long term memory
- fuzzy logic
- feed forward
- ensemble methods
- wind speed
- motion prediction
- training set
- arima model
- wind power
- artificial neural networks
- recurrent neural networks
- genetic algorithm
- power generation
- hidden layer
- fault diagnosis