Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models
Synthetic load profiles are increasingly employed in power system studies as a cost-effective and privacy-preserving alternative to extensive smart meter deployments, with deep generative models (DGMs) showing promising results in capturing complex demand patterns. However, the impact of data normal...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11121160/ |
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