China Energy &. Environmental Policy Analysis Model (CEEPA) aims to perform thorough and elaborate analysis of related energy/environmental policy adjustments or reforms.
     The core of CEEPA is a recursive dynamic computable general equilibrium model. In CEEPA, sixteen sectors were considered (i.e. Agriculture, Iron and Steel industry, Building Materials industry, Chemical industry, Non-ferrous Metals industry, Other Heavy industries, Paper industry, Other Light industries, Construction……         

   China Energy Demand Analysis System is designed for mid- and long-term scenario analysis of energy requirements and CO2 emissions to support policymakers, planners and others strategically plan for energy demands and environmental protection in China. In the system, major drivers of energy consumption are identified as technology, population, economy and urbanization; scenarios are based on the major driving forces that represent various growth paths. In CEDAS China is divided into eight economic regions, and the multi-regional input-output approach is employed to compute energy requirements and CO₂ emissions under each scenario.

   This software, OPFor (Oil Price Forecast) system, is developed mainly for oil price prediction including long term and short term.
     For long term prediction, it bases on a special forecasting model for future oil price. The model applies pattern matching technique to multi-step prediction of crude oil prices and proposes a new approach: generalized pattern matching based on genetic algorithm (GPMGA), which can be used to forecast future crude oil price based on historical observations. This software can automatically detect the most similar pattern in contemporary crude oil prices from the historical data. Based on the similar historical pattern, a multi-step prediction of future crude oil prices can be figured out. In GPMGA modeling process, the traditional pattern matching is not directly employed. Historical data is transformed to larger or smaller……