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Finding relevant multivariate models for multi-plant photovoltaic energy forecasting
Author(s) -
Youssef Hmamouche,
Piotr Przymus,
Lotfi Lakhal,
Alain Casali
Publication year - 2017
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - Uncategorized
Resource type - Conference proceedings
Subject(s) - feature selection , photovoltaic system , computer science , set (abstract data type) , multivariate statistics , selection (genetic algorithm) , matching (statistics) , causality (physics) , dimension (graph theory) , variable (mathematics) , probabilistic forecasting , variety (cybernetics) , energy (signal processing) , time series , machine learning , artificial intelligence , data mining , mathematics , statistics , engineering , electrical engineering , mathematical analysis , physics , quantum mechanics , probabilistic logic , pure mathematics , programming language

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