Ultra-Short-Term Spatiotemporal Forecasting of Renewable Resources: An Attention Temporal Convolutional Network-Based Approach.
Junkai LiangWenyuan TangPublished in: IEEE Trans. Smart Grid (2022)
Keyphrases
- short term
- long term
- convolutional network
- forecasting model
- power generation
- convolutional neural networks
- load forecasting
- medium term
- electric load forecasting
- short term and long term
- stock market
- long term memory
- short and long term
- arima model
- chaotic time series
- motion prediction
- visual attention
- video sequences
- focus of attention
- moving objects