| Algorithm Category | Prediction Algorithm Name | Developer | Status |
|---|---|---|---|
| Statistical | (To do / In progress / Delivered) | ||
| Poisson (McIntosh point-in-time) | TCD | ||
| Poisson (McIntosh 24-hour evolution) | TCD | ||
| Linear regression | |||
| Probit regression | AA | ||
| Logit regression | AA | ||
| Unsupervised learning | |||
| k-means clustering | CNR | ||
| Probabilistic k-means (Fuzzy C-means) clustering | CNR | ||
| Possibilistic k-means clustering | CNR | To do | |
| Supervised learning | |||
| Discriminant analysis | |||
Multi-layer perceptron with back-propagation (point-in-time) | AA | ||
Multi-layer perceptron with back-propagation (time series) | AA | To do | |
| Radial basis function networks (point-in-time) | AA | ||
| Radial basis function networks (time series) | AA | ||
Recurrent neural network with evolutionary algorithm (point-in-time) | AA | ||
Recurrent neural network with evolutionary algorithm (time series) | AA | ||
| Support vector machine (point-in-time) | UNIGE | ||
| Support vector machine (time series) | UNIGE | ||
| Lars, Lasso, Elastic Net (point-in-time) | UNIGE | ||
| Structured sparsity for multitask learning | UNIGE | To do | |
| Time series preprocessing | |||
| Discrete Wavelet Transform | UNIGE | To do | |
| Principal Component Analysis | CNR |
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