A GAN-Enhanced Ensemble Model for Energy Consumption Forecasting in Large Commercial Buildings

A GAN-Enhanced Ensemble Model for Energy Consumption Forecasting in Large Commercial Buildings

Building an accurate and robust energy consumption prediction model is a core mission for the energy management and operation system of a smart building. Prior efforts have explored numerous predictive models in various load prediction scenarios. However, the joint effect of data augmentation and en...

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Bibliographic Details
Main Authors: Danlan Wu, Kyeon Hur, Zhifeng Xiao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Energy consumption forecasting
machine learning
ensemble model
generative adversarial network
data augmentation
Online Access:https://ieeexplore.ieee.org/document/9627928/

Internet

https://ieeexplore.ieee.org/document/9627928/

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