Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting

Table 5

Feature vector used in forecasting.

Attribute number	Description	Formula
1–24	Hour indicator (dummy variable)	,
25–55	Day of the month indicator (dummy variable)	,
56–62	Day of the week indicator (dummy variable)	,
63–74	Month indicator (dummy variable)	,
75	Holiday indicator (dummy variable)
76	Sunset indicator (dummy variable)
77–100	Load of the previous 24 hours	,
101–104	Minimum load of the previous 3, 6, 12, and 24 hours	,
105–108	Maximum load of the previous 3, 6, 12, and 24 hours	,
109–114	Load in the same hour of the previous week (6 days)	,
115–118	Load in the same hour of the same day in previous weeks (4 weeks)	,
119–122	Average temperature observed over previous hourly periods	,
123–128	Average temperature observed in the same hour over the previous 6 days	,
129–132	Average weekly temperature observed in the previous -day periods	,
133–136	Average humidity observed over previous hourly periods	,
137–142	Average humidity observed in the same hour over the previous 6 days	,
143–146	Average humidity observed in the previous -day periods	,

Notation [+1] stands for the next element from the set of indices , for example, .