Optimal Day-Ahead Self-Scheduling and Operation of Prosumer Microgrids Using Hybrid Machine Learning-Based Weather and Load Forecasting

AuthID
 P-00S-P1Y
5
Author(s)
Ketabi, A
·
Document Type
Article
Year published
2020
Published
in IEEE ACCESS, ISSN: 2169-3536
Volume: 8, Pages: 157284-157305 (22)
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Wos®
Scopus®
Dblp®/en/publications/view/841790
Crossref®67
Google Scholar®
Publication Identifiers
DBLP: journals/access/FarajiKHSC20a
SCOPUS: 2-s2.0-85091202604
Wos: WOS:000568231200001
Source Identifiers
ISSN: 2169-3536
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