混合采样频率灰色系统模型：利用季度和月度经济能源指标预测中国CO$2$年排放量matlab代码.zip

# Mixed-frequency Data Sampling Grey System Model ## Introduction This repository contains code to support the implementation of a Mixed-frequency Data Sampling Grey System Model for forecasting annual $CO_2$ emissions in China. The model utilizes both quarterly and monthly economic-energy indicators as input. ## Background Forecasting annual $CO_2$ emissions is a crucial task for understanding and addressing environmental challenges. Traditional forecasting models often rely solely on annual data, which may not capture the nuances of short-term fluctuations in economic and energy variables. The Mixed-frequency Data Sampling Grey System Model addresses this limitation by incorporating both quarterly and monthly data, providing more accurate and timely predictions. ## Features - Utilizes quarterly and monthly economic-energy indicators for improved forecasting accuracy. - Implements a Grey System Model to handle mixed-frequency data effectively. - Supports forecasting of annual $CO_2$ emissions in China. ## Usage 1. Install the required dependencies. 2. Prepare the quarterly and monthly economic-energy indicator data. 3. Use the provided code to implement the Mixed-frequency Data Sampling Grey System Model. 4. Analyze the forecasted annual $CO_2$ emissions in China based on the model's predictions.