An Orderly EV Charging Scheduling Method Based on Deep Learning in Cloud-Edge Collaborative Environment

Table 1

Input and output variables of CNN-DBN.

Variables	Symbols	Variable name
Environment variables (inputs)	x1	Pressure
	x2	Temperature
	x3	Relative humidity
	x4	Wind speed
	x5	Solar radiation intensity
	x6	Latitude
Temporal variables (inputs)	x7	Month
	x8	Week
	x9	Holiday
	x10	Working day
Outputs	y	Residential loads/charging demands/renewable outputs