Solar Power Forecasting on Solar power forecasting dataset (test)
1.73Percentage ErrorSolarTformer
Evaluation results
| Method | Links | |
|---|---|---|
| SolarTformer2026.04 | 1.73 | |
| GRU + multi-timescale fluctuation aggregation (MFA) Attention2026.04 | 2.41 | |
| GRU2026.04 | 2.44 | |
| LSTM-CNN2026.04 | 2.62 | |
| LSTM-CNN + MFA Attention2026.04 | 2.63 | |
| TinyML2026.04 | 4.51 | |
| Similar Day - Backpropagation Neural Network + AdaBoost - Grey-Markov (SD-BPA-GM)Weather condition=Non Sunny2026.04 | 4.84 | |
| Similar Day 1DCNN-LSTM + LightGBM (SD-CL-LGBM)Weather condition=Average sunny + non sunny days2026.04 | 5.17 | |
| Hybrid Inception-ResNet + InformerSeason=Winter2026.04 | 5.8 | |
| LSTMWeather condition=Average sunny + non sunny days2026.04 | 6.65 | |
| Hybrid Inception-ResNet + InformerSeason=Autumn2026.04 | 6.95 | |
| Hybrid Inception-ResNet + InformerSeason=Summer2026.04 | 8.17 | |
| SD-BPA-GMWeather condition=Non Sunny2026.04 | 8.49 | |
| Hybrid Inception-ResNet + InformerSeason=Spring2026.04 | 8.81 | |
| BPWeather condition=Average sunny + non sunny days2026.04 | 11.62 | |
| CNNWeather condition=Average sunny + non sunny days2026.04 | 16.57 | |
| Generalized Spatio-Temporal Artificial Neural Network (GSTANN)2026.04 | 38 | |
| SVM2026.04 | 45 |