Empowering the selection of demand response methods in smart homes: development of a decision support framework

Energy Informatics

Table 6 Results from the simulation

Method	Criteria	No EV	3.6 kW	DC
No DSM	Mean [kWh]	0.632	1.993	1.993
	PAR	2.182	6.281	51.901
	MSE [kWh²]	34.243	731.601	4607.545
	RMSE [kWh]	5.852	27.048	67.879
	Costs	20.034	56.780	70.997
	savings	0.000	0.000	0.000
Greedy Min	Mean [kWh]	0.632	1.993	1.993
	PAR	1.942	3.774	14.251
	MSE [kWh²]	26.718	291.121	1030.782
	RMSE [kWh]	5.169	17.062	32.106
	Costs	19.275	50.218	46.717
	savings	0.038	0.116	0.342
Greedy Max	Mean [kWh]	0.632	1.993	1.993
	PAR	1.942	3.774	13.443
	MSE [kWh²]	26.302	370.660	969.994
	RMSE [kWh]	5.129	19.253	31.145
	Costs	19.275	48.449	47.616
	savings	0.038	0.147	0.329
MAS without communication	Mean [kWh]	0.632	1.993	1.993
	PAR	1.942	4.511	19.300
	MSE [kWh²]	24.542	361.142	1206.356
	RMSE [kWh]	4.954	19.004	34.733
	Costs	19.446	56.473	46.888
	savings	0.029	0.005	0.340
MAS with communication	Mean [kWh]	0.632	1.993	1.993
	PAR	1.942	3.725	11.876
	MSE [kWh²]	25.154	308.974	884.948
	RMSE [kWh]	5.015	17.578	29.748
	Costs	19.716	48.693	47.158
	savings	0.016	0.142	0.336