Wind power design and maintenance of solar container communication stations

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4 FAQs about Wind power design and maintenance of solar container communication stations

Can on-site solar and wind generation data be used for forecasting?

Solar and wind generation data from on-site sources are beneficial for the development of data-driven forecasting models. In this paper, an open dataset consisting of data collected from on-site renewable energy stations, including six wind farms and eight solar stations in China, is provided.

Where is wind power generation data stored?

Wind power generation data are in the wind_farms folder, which includes six Microsoft Excel files. The real-time power generation and weather conditions are recorded in these files. The basic information about each wind farm is listed in Table 1.

Which algorithm is best for capturing intermittency characteristics of wind and solar energy?

GANs have been considered the most efficient algorithm to capture the intermittency and fluctuation characteristics of wind and solar energy generation in recent years 11, 12.

Which irradiance has the highest PCC with the power output?

Similarly, in the solar dataset, total solar irradiance has the highest PCC with the power output, as shown in Fig. 6. Pearson correlation coefficient of different variables of the wind farms. WS_ x (i.e., wind speed at different heights) has the highest PCC with respect to power.