Big Data-based 42-day Coal and Coke Price Forecast System

Thermal Coal/Coking Coal/Coke

Fenwei collects over 500 sets of coal industry data, covering production areas, rail station platforms, ports, import and export, freight rates, downstream sectors and international market.
Building multiple regression model for market forecast, after simulating basic data through correlation analysis, z-score normalization dimensionless method, data dimension reduction, the principal component analysis and regression analysis.

Monographic Study

Supply-side structural reform/cost study/environmental policy impact/mid- and long-term strategic market

The study ranges from policy, supply-demand relation to investment trend and market competition, and based on comprehensive databases, it explores the law of the coal market and industry policy trend.
It analyzes the mid- and long-term development of Chinese thermal, coking coal and coke industries, and the supply-demand situation and future development trend in Southwest China, based mainly on the nation's energy strategy plan and macro economy.

Coke Big Data Decision-making System

All-factor Intellectual Coal Blending System

The system could help identify the most cost effective coal-blending scheme from a variety of feed coal options for the required product standard.
Moreover, for any coal-blending scheme selected, the system could precisely calculate the quality, quantity as well as cost of every primary and secondary products under a specific technology.
The system is based on big data-based optimal match, a mathematical model developed after studying 32 parameters impacting coke quality and their weight of influence, and making comparison between cost and performance of different raw materials under the same quality requirement.