A Forecasting System of Photovoltaic Generation Based on Machine-learning Using Realtime Satellite Data and Numerical Modeling Data

摘要

The present invention relates to a solar power generation amount prediction system, and more particularly, to correct weather information predicted by a numerical model using weather information observed by a satellite, and predict the amount of power generation of a solar power generation device using this It is related to a machine learning-based solar power generation forecasting system using real-time satellite data and numerical model data that can increase the accuracy of forecasting.