A Hybrid Deep Learning-Based Network for Photovoltaic Power Forecasting

Table 3

Technical details of each dataset and their corresponding details about the power generation plants.

Dataset	Technical specification	Value
DKASC-AS-1A [67]	Manufacturer	Trina
	PV technology	Mono-Si
	Array structure	Tracker: Dual axis
	Panel size	2 × 38.37 m^2
	Array tilt/azimuth	Variable. Dual axis tracking.
	Generation capacity of a panel	175 W
	Number of solar panels	2 × 30
	Power generation capacity	10.5 kW
	Duration	08-14-2013∼07-01-2021
DKASC-AS-1B [68]	Manufacturer	Trina
	PV technology	Mono-Si
	Array structure	Tracker: Dual axis
	Panel size	4 × 38.37 m^2
	Array tilt/azimuth	Variable: Dual axis tracking
	Generation capacity of a panel	195 W
	Number of solar panels	4 × 30
	Power generation capacity	23.4 kW
	Duration	8-14-2013∼7-1-2021
DKASC-AS-2Eco [69]	Manufacturer	Eco-kinetics
	PV technology	Mono-Si
	Array structure	Tracker: Dual axis
	Panel size	199.16 m^2
	Array tilt/azimuth	Fixed. Tilt = 20′ azimuth = 0′
	Generation capacity of a panel	170 W
	Number of solar panels	156
	Power generation capacity	26.52 kW
	Duration	8-24-2010∼8-22-2020
DKASC-Yulara-SITE-3A [70]	PV technology	Mono-Si
	Array structure	Fixed: Roof mount
	Panel type	SunPower SPR-327NE
	Array tilt/azimuth	Tilt = 10, azi = 0 (solar north)
	Generation capacity of a panel	327 W
	Number of solar panels	69
	Power generation capacity	22.56 kW
	Duration	4-1-2016∼6-27-2022