Use the output of Weather Research and Forecasting Model (WRF) and interpolate to the given power generating site, and use artificial intelligence algorithms to predict and analyze the electricity on the power generating site, and then use intelligent geographic information system to perform the power generating monitoring, capacity analysis and resource variability risk assessment.This technology acted as pioneer of the international Renewable Energy Certificate system in proposing the meteorological information in combination with the IoT technology for ensuring the credibility of Renewable Energy Certificate mechanism. This technology use the weather forecast variables output by the Weather Research and Forecasting Mode (WRF) and interpolate to power generation site of any latitude and longitude and use artificial intelligence to conduct prediction and analysis of power generation at the site, combined with intelligent geographic information system for electricity monitoring and resource risk assessment at the site, can not only reduce the installation cost of physical sensors but also ensure the credibility of Taiwan Renewable Energy Certificate Mechanism.The analysis of energy variability in the power site is an important tool for making energy related decisions. In the liberalized electricity market, electricity forecast data is provided by electricity purchase contracts or bidding mechanisms as a reference for participation in the market. The developed monitoring system can provide reliable energy resource capacity analysis and risk management.