A Power Load Prediction by LSTM Model Based on the Double Attention Mechanism for Hospital Building | Wuhan University Journal of Natural Sciences

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Table 1

Grey correlation degree between influencing variables and loads for each functional area (i.e., outpatient department (OD), inpatient department (ID), and instrument diagnosis and treatment department (IDTD)) on January (Jan) and July (Ju)

Influencing variable	OD(Jan)	OD(Ju)	ID(Jan)	ID (Ju)	IDTD(Jan)	IDTD(Ju)
X_p	0.868	0.912	0.812	0.898	0.603	0.656
X_l	0.739	0.751	0.752	0.765	0.216	0.303
X_e	0.662	0.603	0.679	0.638	0.903	0.928
X_t	0.682	0.762	0.711	0.793	0.696	0.685
X_h	0.524	0.456	0.415	0.403	0.376	0.376
X_r	0.687	0.691	0.718	0.720	0.553	0.589
X_w	0.125	0.198	0.067	0.103	<0.001	<0.001
	0.825	0.826	0.867	0.831	0.840	0.862
	0.396	0.413	0.398	0.462	0.393	0.420

Note: The key influence variables of each functional area are in bold

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