Quantile forecast of renewable energy generation based on Indicator Gradient Descent and deep residual BiLSTM (2021)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.conengprac.2021.104863
Publication URI: http://dx.doi.org/10.1016/j.conengprac.2021.104863
Type: Journal Article/Review
Parent Publication: Control Engineering Practice
ISSN: 09670661