Short-Term Load Forecasting with Dilated Recurrent Attention Networks in Presence of Missing Data.
Changkyu ChoiPublished in: NLDL (2020)
Keyphrases
- missing data
- short term load forecasting
- missing values
- load forecasting
- structure from motion
- low rank
- incomplete data
- power system
- multiple imputation
- matrix factorization
- linear combination
- feed forward
- recurrent neural networks
- data imputation
- electric power
- missing information
- rbf neural network
- data sets
- computational intelligence
- artificial neural networks
- pattern recognition
- neural network