| Title |
Study on Prediction of Solar Power Generation using Demonstration Complex |
| Authors |
Soon-Jeong Yu ; Dae-Joong Cha ; Jae-Chul Kim |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2019.33.2.038 |
| Keywords |
Prediction Renewable Energy ; Solar Power Prediction ; Weather Forecast ; Photovoltaic Forecasting ; Power Generation Prediction |
| Abstract |
In this study, we developed the solar power generation prediction algorithm by analyzing the correlation between the generation amount of solar power plant and the meteorological conditions such as temperature and daylight time. For this, 1MW photovoltaic power plant for demonstration was selected. The investigated data are reliable. If it is difficult to predict sunshine hours, we provide a basic method of forecasting the amount of power generation as the five stages of weather forecasting. As a result, the research results that can accurately predict the generation amount are estimated by calculating the temperature condition and the power generation time condition according to the four seasons. |