Solar Photovoltaic Satellite

Can satellite images identify solar PV systems?

Using satellite images to identify solar PV is confirmed as a feasible method. In 2018, Yu et al. [ 23] identified a total of (1.4702 ± 0.0007) million PV systems in the United States through aerial images, which exceeded the 1.02 million installations in government registers at that time.

Can satellite images be used for PV power forecast?

Nowadays, the common temporal resolution of publicly accessible satellite images is one hour , , which cannot match the general temporal resolution requirements of the ultra-short-term PV power forecast, e.g., 15 min for most power grids worldwide. This obstacle also limits the application of satellite images on PV power forecast.

How a low update frequency satellite image is used in PV power forecast?

Therefore, estimating the intra-hour satellite images through the low update frequency satellite images plays an indispensable role in PV power forecast. To match the general temporal resolution requirements of the ultra-short-term PV power forecast, the SCRS algorithm is developed based on the ACRS rule.

What is the spatial resolution of a solar PV dataset?

We established a PV dataset using satellite and aerial images with spatial resolutions of 0.8, 0.3, and 0.1 m, which focus on concentrated PVs, distributed ground PVs, and fine-grained rooftop PVs, respectively.

Why do satellite images obstruct the application of photovoltaic power forecasting?

However, in practice, two main factors obstruct the application of the satellite images: 1) the relatively low update frequency of the satellite images mismatches the photovoltaic power forecasting frequency, and 2) the cloud region that blocks the sunlight changes significantly with time.

Which land type is used for solar PV installation?

Solar PV will continue to be the fastest-growing renewable energy application in the context [ 12 ]. Regarding the installation site of solar PV, farmland is the most common land type for the installation of centralized solar PV systems, followed by arid areas and grasslands [ 13 ].