Self-learning dynamic graph neural network with self-attention based on historical data and future data for multi-task multivariate residential air conditioning forecasting

In the context of escalating energy consumption in buildings, particularly from air conditioning (AC), the intelligent control of AC has become increasingly crucial. Accurately predicting future energy consumption for AC, the indoor environment, and determining the optimal settings have emerged as k...

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Veröffentlicht in:	Applied energy Jg. 364; S. 123156
Hauptverfasser:	Hu, Zehuan, Gao, Yuan, Sun, Luning, Mae, Masayuki, Imaizumi, Taiji
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.06.2024
Schlagworte:	Graph neural network Multi-task multivariate time-series forecasting Residential building air conditioning Self-attention Residential building air conditioning Graph neural network Multi-task multivariate time-series forecasting Self-attention
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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