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).