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    Event-Induced Anomalies in Energy Consumption Using the Wavelet Transform and Long Short-Term Memory Neural Network: Case Study at Arizona State University 

    Source: Journal of Architectural Engineering:;2025:;Volume ( 031 ):;issue: 003:;page 04025028-1
    Author(s): Chong, Zen-Sheen Osmond; Chong, Wai Oswald
    Publisher: American Society of Civil Engineers
    Abstract: Abstract 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. ...
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