Research on the technical framework and critical path of new energy portfolio prediction based on multi-algorithm fusion
, , , oraz
19 mar 2025
O artykule
Data publikacji: 19 mar 2025
Otrzymano: 19 lis 2024
Przyjęty: 18 lut 2025
DOI: https://doi.org/10.2478/amns-2025-0413
Słowa kluczowe
© 2025 Zhongyuan Yan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Figure 4.
Photovoltaic power prediction error results
| Prediction method | Sunny day | Rainy day | Orb | |||
|---|---|---|---|---|---|---|
| MAE | RMSE/% | MAE | RMSE/% | MAE | RMSE/% | |
| LSSVM | 0.0174 | 3.5965 | 0.0556 | 9.1053 | 0.0689 | 15.0334 |
| Similar day | 0.0136 | 3.1277 | 0.0412 | 8.2114 | 0.0454 | 11.6782 |
| The combination model of this article | 0.0075 | 1.8069 | 0.0295 | 7.6067 | 0.0337 | 6.0381 |
The prediction error of the three prediction models
| Prediction method | |||
|---|---|---|---|
| ARMA | 5.49 | 6.79 | 0.9065 |
| LSSVM | 4.25 | 5.33 | 0.9124 |
| The combination prediction model of this article | 2.73 | 4.26 | 0.9567 |