Electricity Price Prediction Using Encoder-Decoder Recurrent Neural Networks in Turkish Dayahead Market.
Salih GündüzUmut UgurluIlkay ÖksüzPublished in: SIU (2020)
Keyphrases
- recurrent neural networks
- video codec
- chaotic time series
- motion compensated prediction
- electricity markets
- neural network
- video coding
- decoding process
- feed forward
- low complexity
- distributed video coding
- prediction error
- neural model
- echo state networks
- rate distortion
- error control
- bit rate
- avc intra
- motion compensated
- load forecasting
- recurrent networks
- reservoir computing
- motion estimation
- artificial neural networks
- wyner ziv video coding
- noisy channel
- electric power
- power generation
- long term
- market participants
- turbo codes
- compression efficiency
- mode decision
- wyner ziv
- short term
- enhancement layer
- successive approximation
- cascade correlation
- distributed source coding
- market prices
- motion compensation
- video coding scheme
- multi layer perceptron
- intra prediction
- video compression
- intra coding
- computational complexity
- decision making
- nonlinear dynamic systems
- temporal correlation
- genetic algorithm
- machine learning