Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

Due to industrialization and the rising demand for energy, global energy consumption has been rapidly increasing. Recent studies show that the biggest portion of energy is consumed in residential buildings, i.e., in European Union countries up to 40% of the total energy is consumed by households. Mo...

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Bibliographic Details
Main Authors:	Zulfiqar Ahmad Khan, Tanveer Hussain, Amin Ullah, Seungmin Rho, Miyoung Lee, Sung Wook Baik
Format:	Article
Language:	English
Published:	MDPI AG 2020-03-01
Series:	Sensors
Subjects:	buildings energy management deep learning energy consumption prediction lstm autoencoder load forecasting smart sensors
Online Access:	https://www.mdpi.com/1424-8220/20/5/1399

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