Short-term scenario-based probabilistic load forecasting: A data-driven approach

Applied Energy（2019）

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摘要

•Developing a novel scenario-based probabilistic load forecasting model.•Considering matrices as an alternative representation of time series data.•Temperature scenarios generation using the singular value decomposition.•Incorporating the recency effects of the data using first and second derivatives.

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关键词

Time-series analysis,Energy forecasting,Probabilistic forecasting,Time-varying effects,Singular value decomposition

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