The proposed fuzzy regressors for photovoltaic forecasting are interpretable and easy to configure, but the empirical claim that they outperform machine learning and deep learning baselines is contradicted by the reported results.
Fuzzy systems in medicine, volume 41
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting
The proposed fuzzy regressors for photovoltaic forecasting are interpretable and easy to configure, but the empirical claim that they outperform machine learning and deep learning baselines is contradicted by the reported results.