Building Energy Consumption Raw Data Forecasting Using Data Cleaning and Deep Recurrent Neural Networks

Building Energy Consumption Raw Data Forecasting Using Data Cleaning and Deep Recurrent Neural Networks

With the rising focus on building energy big data analysis, there lacks a framework for raw data preprocessing to answer the question of how to handle the missing data in the raw data set. This study presents a methodology and framework for building energy consumption raw data forecasting. A case bu...

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Bibliographic Details
Main Authors: Junjing Yang, Kok Keng Tan, Mat Santamouris, Siew Eang Lee
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Buildings
Subjects:
energy forecasting
deep recurrent neural networks
data imputation
Online Access:https://www.mdpi.com/2075-5309/9/9/204

Internet

https://www.mdpi.com/2075-5309/9/9/204

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