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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/18/4722 |