# Probabilistic Forecasting on azure

Source: [Probabilistic Forecasting on azure](<https://www.sota2.com/research/sota/probabilistic-forecasting-on-azure>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:53:02.737Z

Evaluation of models performing Probabilistic Forecasting on the azure dataset, assessed using metrics including ND%, wQL%, and coverage/sharpness statistics.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Probabilistic Forecasting |
| Dataset (including any stated split) | azure |
| Metric | ND (%) |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 7 of 7 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [ND (%)](<https://www.sota2.com/research/sota/probabilistic-forecasting-on-azure.md?metric=ND%20(%25)>): Lower is better; unit: PERCENT.

- [wQL (%)](<https://www.sota2.com/research/sota/probabilistic-forecasting-on-azure.md?metric=wQL%20(%25)>): Lower is better; unit: PERCENT.

- [Coverage 80%](<https://www.sota2.com/research/sota/probabilistic-forecasting-on-azure.md?metric=Coverage%2080%25>): Higher is better; unit: PERCENT.

- [Sharpness 80%](<https://www.sota2.com/research/sota/probabilistic-forecasting-on-azure.md?metric=Sharpness%2080%25>): Lower is better; unit: SCALAR.

- [Coverage 99%](<https://www.sota2.com/research/sota/probabilistic-forecasting-on-azure.md?metric=Coverage%2099%25>): Higher is better; unit: PERCENT.

- [Sharpness 99%](<https://www.sota2.com/research/sota/probabilistic-forecasting-on-azure.md?metric=Sharpness%2099%25>): Lower is better; unit: SCALAR.

## Recorded results

| Method | ND (%) | Result date | Report paper |
| --- | --- | --- | --- |
| C2FAR-RNN3 | 2.77 | Not recorded | 68fa71ac1e209131cea527a5 |
| C2FAR-RNN2 | 2.86 | Not recorded | 68fa71ac1e209131cea527a5 |
| C2FAR-RNN1 | 2.95 | Not recorded | 68fa71ac1e209131cea527a5 |
| ETS | 3.46 | Not recorded | 68fa71ac1e209131cea527a5 |
| Naïve | 3.49 | Not recorded | 68fa71ac1e209131cea527a5 |
| DeepAR-Gaussian | 3.6 | Not recorded | 68fa71ac1e209131cea527a5 |
| Seasonal-naïve | 3.67 | Not recorded | 68fa71ac1e209131cea527a5 |

### C2FAR-RNN3

ND (%): 2.77. Result ID: 6991daf23a6c3148490b066d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

[Implementation](<https://github.com/huaweicloud/c2far_forecasting>)

Recorded evaluation configuration: {"Implementation Source":"Our Implementation"}. This record does not assert independent reproduction.

### C2FAR-RNN2

ND (%): 2.86. Result ID: 6991daf23a6c3148490b066c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

[Implementation](<https://github.com/huaweicloud/c2far_forecasting>)

Recorded evaluation configuration: {"Implementation Source":"Our Implementation"}. This record does not assert independent reproduction.

### C2FAR-RNN1

ND (%): 2.95. Result ID: 6991daf23a6c3148490b066b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

[Implementation](<https://github.com/huaweicloud/c2far_forecasting>)

Recorded evaluation configuration: {"Implementation Source":"Our Implementation"}. This record does not assert independent reproduction.

### ETS

ND (%): 3.46. Result ID: 6991daf23a6c3148490b0669.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

Recorded evaluation configuration: {"Implementation Source":"Our Implementation"}. This record does not assert independent reproduction.

### Naïve

ND (%): 3.49. Result ID: 6991daf23a6c3148490b0667.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

Recorded evaluation configuration: {"Implementation Source":"Our Implementation"}. This record does not assert independent reproduction.

### DeepAR-Gaussian

ND (%): 3.6. Result ID: 6991daf23a6c3148490b066a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

Recorded evaluation configuration: {"Implementation Source":"Our Implementation"}. This record does not assert independent reproduction.

### Seasonal-naïve

ND (%): 3.67. Result ID: 6991daf23a6c3148490b0668.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71ac1e209131cea527a5.md>)

Recorded evaluation configuration: {"Implementation Source":"Our Implementation"}. This record does not assert independent reproduction.

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