Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.
Irena KoprinskaMashud RanaAlicia Troncoso LoraFrancisco Martínez-ÁlvarezPublished in: IJCNN (2013)
Keyphrases
- demand forecasting
- forecasting accuracy
- sequence similarity
- neural network model
- neural network
- bp neural network
- exponential smoothing
- hybrid model
- forecasting model
- electricity markets
- computational methods
- short term
- support vector regression
- back propagation
- load forecasting
- electricity consumption
- artificial neural networks
- historical data
- chaotic time series
- weather forecasting
- mackey glass
- electric power
- fault diagnosis
- secondary structure
- arima model
- protein structure prediction
- forecast models
- genome scale
- short term prediction
- pattern discovery
- financial time series
- stock market
- learning algorithm
- machine learning