Graph representation learning-based residential electricity behavior identification and energy management

Protection and Control of Modern Power Systems

Table 4 The result of behavior identification

Model	Method	B1	B3	H1	H2	H3	H4	H5	H6	H7	H8	H9	H10
MLKNN	HL	0.024	0.093	0.139	0.059	0.118	0.109	0.174	0.158	0.085	0.131	0.049	0.151
	Acc	0.976	0.906	0.861	0.941	0.882	0.891	0.826	0.842	0.915	0.869	0.951	0.849
	F1-Score	0.825	0.805	0.467	0.568	0.588	0.604	0.415	0.528	0.589	0.527	0.72	0.693
RAKEL	HL	0.02	0.069	0.142	0.06	0.119	0.11	0.171	0.143	0.081	0.129	0.062	0.144
	Acc	0.98	0.931	0.858	0.94	0.881	0.89	0.829	0.857	0.919	0.871	0.938	0.855
	F1-Score	0.84	0.857	0.181	0.54	0.576	0.591	0.4	0.506	0.586	0.502	0.601	0.653
SGN	HL	0.011	0.032	0.078	0.043	0.081	0.075	0.13	0.135	0.05	0.107	0.025	0.131
	Acc	0.989	0.97	0.922	0.957	0.919	0.925	0.87	0.865	0.95	0.893	0.975	0.869
	F1-Score	0.918	0.939	0.698	0.69	0.718	0.72	0.511	0.558	0.765	0.64	0.861	0.728
LDWA	HL	0.011	0.030	0.072	0.041	0.078	0.077	0.117	0.133	0.052	0.101	0.021	0.131
	Acc	0.989	0.97	0.930	0.959	0.922	0.923	0.881	0.865	0.948	0.901	0.975	0.869
	F1-Score	0.918	0.939	0.733	0.706	0.733	0.723	0.537	0.563	0.769	0.653	0.876	0.728
ML-SGN (proposed)	HL	0.011	0.033	0.065	0.041	0.072	0.073	0.102	0.124	0.048	0.097	0.02	0.131
	Acc	0.989	0.967	0.935	0.959	0.928	0.927	0.898	0.876	0.952	0.903	0.98	0.869
	F1-Score	0.92	0.937	0.781	0.72	0.752	0.719	0.574	0.584	0.777	0.684	0.886	0.726