Solar Photovoltaic Power Generation Weather Forecast

How is photovoltaic power generation forecasted?

Photovoltaic power generation is forecasted using deep learning. Weather observation and forecast, and solar geometry data are used as input. Three variants of the transformer networks are designed for the power forecasting. The networks were evaluated with the data of two power plants in South Korea.

What information is available for PV power generation forecasting?

The information available for PV power generation forecasting for time t includes five weather observation features (x t o b s), five forecast weather features (x t f c s t), five time-related features (x t t i m e), and three solar geometry features (x t g m t).

Can Weather Forecasts predict PV power generation?

They divided four models according to different weather conditions and then used historical data and weather forecasts as inputs to predict PV power generation. The authors obtained promising results when testing their technique to forecast the power output of a PV station in China.

How to forecast solar PV output power?

Forecasting solar PV output power is complex as the power supply fluctuates. Several methods have been researched and developed to improve PV power forecasting . Of the many existing techniques, machine learning models are widely being used and stand as the most recently developed models .

Why is forecasting important for solar PV systems?

The introduction of solar photovoltaic (PV) power systems into the energy sector has increased due to the fall in solar PV module prices over recent years , , . As solar PV systems have uncertainties in the power output due to changing weather patterns, there is an increasing importance of forecasting.

Can a day ahead forecasting model predict solar power output?

This paper proposed an intelligent solar power forecasting model using the day ahead method. The forecasting model was designed and simulated from a 16.8 kW PV power plant. It can be observed that the model can accurately forecast PV power output and is suitable for integration with battery storage to aid in demand reduction during peak demand.