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Updated: Jun 3, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

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时间序列能源使用数据的双重结构数据合成

Jiwoo Kim1, Changhoon Lee2, Jehoon Jeon3

  • 1Department of Statistics and Data Science, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括

双重结构数据合成 (DS2) 创建合成能源数据,以克服隐私和数量挑战. 这种新的方法通过保留数据特征并确保隐私来提高能源需求预测和管理.

关键词:
数据增强数据增强数据隐私 隐私数据 隐私数据电子能源使用 电子能源使用能源数据 能源数据能源管理 能源管理综合数据 综合数据

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