MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations

This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously. The main contribution of MultiLoad-GAN is the capture of spatial-temporal correlations among a group of loads that are se...

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Veröffentlicht in:	IEEE transactions on smart grid 2023-08, Vol.15 (2)
Hauptverfasser:	Hu, Yi, Li, Yiyan, Song, Lidong, Lee, Han Pyo, Rehm, P. J., Makdad, Matthew, Miller, Edmond, Lu, Ning
Format:	Artikel
Sprache:	eng
Schlagworte:	Data augmentation generative adversarial networks load profile group generation machine learning negative sample generation POWER TRANSMISSION AND DISTRIBUTION synthetic data
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