The Personalized Thermal Comfort Prediction Using an MH-LSTM Neural Network Method

Table 5

Pearson’s correlation analysis.

Variable	subPMV	T1	H1	T2	H2	T_R	H_R	T_L	H_L
subPMV	1.00	—	—	—	—	—	—	—	—
T1	0.817	1.00	—	—	—	—	—	—	—
H1	−0.801	−0.918	1.00	—	—	—	—	—	—
T2	0.820	0.998	−0.911	1.00	—	—	—	—	—
H2	−0.811	−0.943	0.979	−0.942	1.00	—	—	—	—
T_R	0.645	0.877	−0.811	0.883	−0.842	1.00	—	—	—
H_R	0.096	0.158	−0.089	0.176	−0.126	0.193	1.00	—	—
T_L	0.692	0.889	−0.855	0.892	−0.873	0.925	0.136	1.00	—
H_L	0.259	0.234	−0.177	0.220	−0.130	−0.026	−0.026	0.115	1.00

Note. All the correlations have been significant at the 0.01 level (two-tailed). The significance of the bold value indicates that all correlations are significant at the 0.5 level (2-tailed).