Solar Forecasting using EM-based Neural Networks

• Main Authors: Hsu, Ming-Wei, 徐銘偉
• Other Authors: Leu, Yih-Guang
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/vkemb9

碩士 === 國立臺灣師範大學 === 電機工程學系 === 105 === In the thesis, a solar irradiance forecasting system is developed by using an electromagnetism-like neural network. The hardware of the solar irradiance forecasting system includes a pyranometer, single-board computer, webcam and cloud server. The hardware devices are used to collect and store the solar data, including solar irradiance data and sky images. The electromagnetism-like mechanism algorithm is improved and involved in the neural network in order to increase the forecasting efficiency. The input features of the neural network includes real-time sky and solar irradiance data and past solar irradiance data. Based on the trained neural network, the solar irradiance forecasting system can calculate the hourly 1-6 hours ahead solar irradiance values. Finally, some comparison results are given to verify the efficiency of solar irradiance forecasting system.