Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption

Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption

Predicting residential energy consumption is tantamount to forecasting a multivariate time series. A specific window for several sensor signals can induce various features extracted to forecast the energy consumption by using a prediction model. However, it is still a challenging task because of irr...

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Bibliographic Details
Main Authors:	Seok-Jun Bu, Sung-Bae Cho
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Energies
Subjects:	convolutional recurrent neural network multi-headed attention time-series forecasting energy consumption prediction
Online Access:	https://www.mdpi.com/1996-1073/13/18/4722

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