A Regression Forecasting Model of Carbon Dioxide Concentrations Based-on Principal Component Analysis-Support Vector Machine.
Yiou WangGangyi DingLaiyang LiuPublished in: GRMSE (2014)
Keyphrases
- forecasting model
- support vector regression
- carbon dioxide
- principal component analysis
- support vector machine
- support vector
- regression model
- power generation
- feature space
- kernel function
- support vector machine svm
- principal components
- short term
- data center
- power plant
- load forecasting
- training data
- face recognition
- feature extraction
- dimensionality reduction
- svm classifier
- feature selection
- machine learning
- long term
- dimension reduction
- generalization ability
- climate change
- production rate
- ls svm
- energy saving
- training set
- bp neural network
- cloud computing
- image processing
- feature vectors
- artificial neural networks