Multi-aspect renewable energy forecasting

DOI10.1016/j.ins.2020.08.003zbMath1479.62070OpenAlexW3083959162MaRDI QIDQ2055561

Hadi Fanaee-T, Michelangelo Ceci, Roberto Corizzo, João Gama

Publication date: 1 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.003

zbMATH Keywords

energytime seriesforecastingmachine learningtensor factorizationmulti-aspect analysis

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• TensorToolbox
• darch

Cites Work

• Tensor Decompositions and Applications
• Data mining. Concepts and techniques
• Principal component analysis.
• Reducing the Dimensionality of Data with Neural Networks
• Variational Mode Decomposition
• Learning from Data Streams
• Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center
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