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Data-Driven Scenarios Generation for Wind Power Profiles Using Implicit Maximum Likelihood Estimation

Autor: Liao, Wenlong, Bak-Jensen, Birgitte, Pillai, Jayakrishnan Radhakrishna, Zhu, Ruijin, Song , Like

Publikováno v: Liao, W, Bak-Jensen, B, Pillai, J R, Zhu, R & Song, L 2020, Data-Driven Scenarios Generation for Wind Power Profiles Using Implicit Maximum Likelihood Estimation . in Proceedings of 12th International Conference on Applied Energy (ICAE2020) ., 0428, Elsevier, International Conference on Applied Energy 2020, Bangkok, Thailand, 01/12/2020 .

The scenario generation of wind power profiles is of great significance for the economic operation and stability analysis of the distribution network. In this paper, a novel generative network is proposed to model wind power profiles based on implici

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f50c06f351736ec43b7b2b43acdcc25c
https://vbn.aau.dk/da/publications/38166603-a559-4af3-aaf0-0fa762ba1747