Doubly Structured Data Synthesis for Time-Series Energy-Use Data

Doubly Structured Data Synthesis for Time-Series Energy-Use Data

As the demand for efficient energy management increases, the need for extensive, high-quality energy data becomes critical. However, privacy concerns and insufficient data volume pose significant challenges. To address these issues, data synthesis techniques are employed to augment and replace real...

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Bibliographic Details
Main Authors: Jiwoo Kim, Changhoon Lee, Jehoon Jeon, Jungwoong Choi, Joseph H. T. Kim
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
data augmentation
energy data
energy management
electronic energy use
data privacy
synthetic data
Online Access:https://www.mdpi.com/1424-8220/24/24/8033
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