Application of artificial Neutral network for predicting energy output of solar power plants

Abstract

    Vietnam is assessed as a country with great potential for solar energy. This is an environmentally sustainable and renewable energy source. In recent years, with many incentive mechanisms, solar power projects have developed in our country rapidly. These projects have contributed to ensuring national energy security.     However, with the rapid development in terms of the number of projects, total installed capacity, and electricity output of solar power plants, the operation of the electricity system faces difficulties. In order to opperate energy sources in the electricity system reasonably, it is necessary to forecast the capacity as well as the electricity output of solar power plants. This study has applied the artificial neural network to predict the power output of solar power plants based on weather conditions. The study was applied to predict the daily output of 752,4KWp solar power plant in Hung Yen province. Results of predicted daily output are reliable. This study provides a useful method for predicting the power output of solar power plants to make a reasonable operating mode for power plants in the electricity system