SolarTformer applies self-attention transformers to solar power forecasting and claims to outperform prior models on clear and cloudy days by incorporating power-station metadata for better generalization.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SolarTformer: A Transformer Based Deep Learning Approach for Short Term Solar Power Forecasting
SolarTformer applies self-attention transformers to solar power forecasting and claims to outperform prior models on clear and cloudy days by incorporating power-station metadata for better generalization.