Hu, T, Li, K orcid.org/0000-0001-6657-0522, Ma, H et al. (2 more authors) (Accepted: 2021) Quantile Forecast of Renewable Energy Generation Based on Indicator Gradient Descent and Deep Residual BiLSTM. Control Engineering Practice. ISSN 0967-0661 (In Press)
Metadata
Authors/Creators: |
|
---|---|
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Jun 2021 14:45 |
Last Modified: | 10 Jun 2021 14:45 |
Status: | In Press |
Publisher: | Elsevier |
Download
