Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach

Scenario generation is a fundamental and crucial tool for decision-making in power systems with high-penetration renewables. Based on big historical data, in this article, a novel federated deep generative learning framework, called Fed-LSGAN, is proposed by integrating federated learning and least...

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Veröffentlicht in:IEEE transactions on industrial informatics Jg. 18; H. 4; S. 2310 - 2320
Hauptverfasser: Li, Yang, Li, Jiazheng, Wang, Yi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.04.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1551-3203, 1941-0050
Online-Zugang:Volltext
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