Research Article
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 m2 | 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 m2 | 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 m2 | 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 |
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