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.
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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.