Dynamically Optimizing Parameters in Support Vector Regression: An Application of Electricity Load Forecasting.
Chin-Chia HsuChih-Hung WuShih-Chien ChenKang-Lin PengPublished in: HICSS (2006)
Keyphrases
- load forecasting
- support vector regression
- short term load forecasting
- response surface methodology
- short term
- support vector
- regression model
- support vector machine svm
- hybrid model
- power system
- kernel function
- electric power
- support vector classification
- power generation
- bp neural network
- rbf neural network
- wavelet neural network
- support vector machine
- long term
- forecasting accuracy
- classification accuracy
- image processing