Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices.
Martin MacasLenka LhotskáPublished in: SMC (2013)
Keyphrases
- spot market
- electricity markets
- wrapper feature selection
- prediction accuracy
- unit commitment
- load forecasting
- electric power
- long term
- market clearing
- market prices
- prediction model
- prediction algorithm
- classification accuracy
- image processing
- feature selection
- long run
- power grid
- learning algorithm
- electricity consumption
- short term
- neural network