What data is used in the proposed Solar System?

Figure 7 gives the general flowchart of the proposed system. As shown in Fig. 7, solar data such as PV power, humidity, irradiance, temperature, and wind speed are used in the datasets. We use three datasets respectively from DKASC Solar System, Desert Gardens, and Connellant Airport with 5 min resolution.

What time does PV power generation take place?

We considered the PV power generation for each date only for the period from 8:00 AM to 3:55 PM in the case of dataset N1, and from 8:00 AM to 5:30 PM in the case of datasets 2 and 3, excluding the data series for the period from 4:00 PM to 8:00 AM and from 6:00 PM to 8:00 AM, respectively.

What are some open-source datasets related to solar energy?

Here are some open-source datasets related to solar energy along with their links: National Renewable Energy Laboratory (NREL) Solar Radiation Data: This dataset includes solar radiation and related climatic data for locations in the United States and its territories.

How to predict PV solar energy production?

Thus, to optimize network efficiency and reliability, it is essential to develop advanced methods for analyzing and predicting PV solar energy production. Forecasting techniques for PV power generation can be broadly divided into two methods: the physical method and the statistical method.

What is a solar forecasting dataset?

The dataset contains the following two levels of data which distinguishes it from most of the existing open-sourced solar forecasting datasets and makes it especially suitable for deep-learning-based solar forecasting research:

Why is historical data important for forecasting solar irradiance?

Therefore, the quantity and quality of historical data are essential for obtaining accurate forecasts. Indeed, solar irradiance refers to the amount of solar radiation per unit area. This value fluctuates as it is affected by several factors such as atmospheric conditions, geographic location, and time of day.