Leveraging temporal dependency in probabilistic electric load forecasting

Published: 2025, Last Modified: 16 May 2025Appl. Soft Comput. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Employs support vector regression and autoregressive noise for load forecasting.•Provides theoretical guarantees on the consistency and validity of the algorithms.•Introduces bootstrap algorithms for interval prediction, avoiding manual calculations.•Generates prediction intervals with desired coverage and smaller widths.
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