Photovoltaic systems have been widely deployed in recent times to meet the increased electricity demand as an environmental-friendly energy source. The major challenge for integrating photovoltaic systems in power systems is the unpredictability of the solar power generated. In this paper, we analyze the impact of having access to weather information for solar power generation prediction and find weather information that can help best predict photovoltaic power.
@cite_1 also presented a similar day-based forecasting tool for 24 hour-ahead forecasting for a small scale solar power output. Their proposed forecasting method had two components: Similar Day Detection (SDD) engine and forecasting engine. Their study found the most effective external variable as the irradiance forecasts for all geographical locations that was studied. As weather forecasts are used as model inputs, inaccuracy in those forecasts lead into inevitable solar power forecast errors.
@cite_1
2014454218
Because of the rapid growth of small-scale solar electricity generation over the past few years, forecasting solar power output is becoming more important. However, changes in weather conditions cause solar power generation to be highly volatile. This paper analyses the challenges of solar power forecasting and then presents a similar day-based forecasting tool to do 24-h-ahead forecasting for small-scale solar power output forecasting.