AUTOMATED PIPELINES FOR ENHANCED ENERGY DATA QUALITY: ANOMALY DETECTION, DATA IMPUTATION, AND GENERATIVE MODELING

AUTOMATED PIPELINES FOR ENHANCED ENERGY DATA QUALITY: ANOMALY DETECTION, DATA IMPUTATION, AND GENERATIVE MODELING

Ph.D

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Bibliographic Details
Main Author:	FU CHUN
Other Authors:	THE BUILT ENVIRONMENT
Format:	Theses and Dissertations
Language:	English
Published:	2024
Subjects:	Machine learning, Building energy, Smart meter, Anomaly detection, Data imputation, Generative model
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/249505
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

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