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dc.contributor.authorChong, Zen-Sheen Osmond
dc.contributor.authorChong, Wai Oswald
dc.date.accessioned2026-08-20T21:16:36Z
dc.date.available2026-08-20T21:16:36Z
dc.date.copyright2025/06/02
dc.date.issued2025
dc.identifier.otherJAEIED.AEENG-1919.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314217
dc.description.abstractAbstract This research investigates the complex relationship between events and anomalies in energy consumption patterns by employing wavelet transform techniques and developing long short-term memory (LSTM) neural network. The study seeks to understand ...
dc.publisherAmerican Society of Civil Engineers
dc.titleEvent-Induced Anomalies in Energy Consumption Using the Wavelet Transform and Long Short-Term Memory Neural Network: Case Study at Arizona State University
dc.typeJournal Article
dc.journal.volume31
dc.journal.issue3
dc.journal.titleJournal of Architectural Engineering
dc.identifier.doi10.1061/JAEIED.AEENG-1919
dc.journal.fristpage04025028-1
dc.journal.lastpage04025028-18
dc.page18
dc.treeJournal of Architectural Engineering:;2025:;Volume ( 031 ):;issue: 003
dc.contenttypeFulltext


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