| Algorithm Category | Prediction Algorithm Name | Developer | |||
|---|---|---|---|---|---|
| Statistical | |||||
| Poisson (McIntosh point-in-time) | TCD | ||||
| Poisson (McIntosh 24-hour evolution) | TCD | ||||
| Linear regression: Lasso, Elastic Net, Lars (point-in-time)UNIGE | |||||
| Unsupervised learning | |||||
| k-means clustering | CNR | ||||
| Probabilistic Ck-means clustering | CNR | ||||
| TO DO | Possibilistic k-means clustering | CNR | |||
| Supervised learning | |||||
| Discriminant analysis | |||||
Multi-layer perceptron with back-propagation (point-in-time) | CNR | ||||
| TO DO | Multi-layer perceptron with back-propagation (time series) | CNR | |||
Recurrent neural network with evolutionary algorithm (point-in-time) | |||||
Recurrent neural network with evolutionary algorithm (time series) | |||||
| Support vector machine (point-in-time) | UNIGE | ||||
| Support vector machine (time series) | Lars, Lasso, Elastic Net (point-in-time) | UNIGE | |||
| TO DO | Structured sparsity for multitask learning | UNIGE | |||
| Time series preprocessing | |||||
| TO DO | Discrete Wavelet Transform | UNIGE |
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