Assessing the Utility of Weather Data for Photovoltaic Power Prediction
This addresses the unpredictability of solar power for power system integration, but appears incremental as it focuses on analyzing existing weather data rather than introducing new methods.
The paper tackled the problem of predicting photovoltaic power generation by analyzing the impact of weather information, identifying which weather data best helps in prediction.
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.