# Cyber-attack Detection on PV MPPT Spike (test)

Source: [Cyber-attack Detection on PV MPPT Spike (test)](<https://www.sota2.com/research/sota/cyber-attack-detection-on-pv-mppt-spike-test>)

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

Data updated: 2026-04-08T09:02:11.511Z

Evaluation of Cyber-attack detection performance on the test split of the PV MPPT Spike dataset, measured using Accuracy, AUC, and Retention metrics.

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 | Cyber-attack Detection |
| Dataset (including any stated split) | PV MPPT Spike (test) |
| Metric | Test Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [Test Accuracy](<https://www.sota2.com/research/sota/cyber-attack-detection-on-pv-mppt-spike-test.md?metric=Test%20Accuracy>): Higher is better; unit: PERCENT.

- [Test AUC](<https://www.sota2.com/research/sota/cyber-attack-detection-on-pv-mppt-spike-test.md?metric=Test%20AUC>): Higher is better; unit: PERCENT.

- [Retention](<https://www.sota2.com/research/sota/cyber-attack-detection-on-pv-mppt-spike-test.md?metric=Retention>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Test Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Full-FT | 94.72 | Not recorded | 69d5e10b7d0172140ec75aaa |
| CDWF | 94.1 | Not recorded | 69d5e10b7d0172140ec75aaa |
| LoRA | 93.58 | Not recorded | 69d5e10b7d0172140ec75aaa |

### Full-FT

Test Accuracy: 94.72. Result ID: 69d6198247f34ce924bed631.

[Reporting paper](<https://www.sota2.com/research/paper/69d5e10b7d0172140ec75aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64601e209131cea04261.md>)

[Implementation](<http://nlp.fast.ai/ulmfit>)

Recorded evaluation configuration: {"Param Count":"3,844,930","Param Reduction":"1.0×"}. This record does not assert independent reproduction.

### CDWF

Test Accuracy: 94.1. Result ID: 69d6198247f34ce924bed633.

[Reporting paper](<https://www.sota2.com/research/paper/69d5e10b7d0172140ec75aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69d5e10b7d0172140ec75aaa.md>)

Recorded evaluation configuration: {"LoRA rank":"4","Param Count":"32,322","Param Reduction":"119×"}. This record does not assert independent reproduction.

### LoRA

Test Accuracy: 93.58. Result ID: 69d6198247f34ce924bed632.

[Reporting paper](<https://www.sota2.com/research/paper/69d5e10b7d0172140ec75aaa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b121e209131cea2bf59.md>)

[Implementation](<https://github.com/microsoft/LoRA>)

Recorded evaluation configuration: {"LoRA rank":"4","Param Count":"31,746","Param Reduction":"121×"}. This record does not assert independent reproduction.

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