Pattern-based Forecasting of Monthly Electricity Demand using Support Vector Machine.
Pawel PelkaPublished in: IJCNN (2021)
Keyphrases
- demand forecasting
- support vector machine
- forecasting accuracy
- electricity markets
- rainfall forecasting
- support vector regression
- electricity consumption
- load forecasting
- anchovy catches
- electric power
- short term
- wind power
- stock market prediction
- supply chain
- multi class
- hybrid model
- historical data
- forecast models
- machine learning
- support vector
- support vector machine svm
- software agents
- unit commitment
- long term
- svm classifier
- rbf neural network
- market participants
- renewable energy
- power generation
- bp neural network
- feature selection
- market clearing
- feature vectors
- radial basis function
- hyperplane
- kernel function
- forecasting model
- decision boundary
- autoregressive model
- classification method
- bidding strategies
- supply chain management
- feature space
- neural network model
- data sets