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A forecasting framework coupling hierarchical factor analysis with ridge regression provides a robust and highly interpretable alternative to complex deep learning models for predicting photovoltaic power generation. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

An interpretable statistical approach to photovoltaic power forecasting using factor analysis and ridge regression

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