国际石油经济2024，Vol.32Issue(z1)：55-60,6.
石油石化市场数智化研究探索
Exploration of the numerical intelligence research on the petroleum and petrochemicals market
王利宁 1单卫国 1王婧 1李男 1张荻萩 1刘凯雷1
作者信息
- 1. 中国石油集团经济技术研究院||中国石油集团油气市场模拟与价格预测重点实验室
- 折叠
摘要
Abstract
After years of exploration and practice,the oil market research team of CNPC Economics and Technology Research Institute has constructed a systematic oil market analysis framework with supply and demand fundamentals as the core,supplemented by non-fundamental elements,and is able to accurately study the supply and demand trend and price trend in the oil market,which has gained wide recognition and a good reputation in domestic and international academic circles and industry.In the face of the increasingly complex energy development environment,the difficulty of further improving scientific,accurate and forward-looking oil market research has increased exponentially.To this end,the research team explored the introduction of big data and artificial intelligence methods,organically combined big data,artificial intelligence and other methods with traditional methods based on an intelligent platform,and formed a set of innovative research methods and model systems with independent intellectual property rights,which solved the problems of lagging official data and insufficient model prediction accuracy in oil market research,and upgraded the data from low-frequency to high-frequency,and from less dimensionality to multi-dimensionality.关键词
石油市场/市场研究方法/数智化/人工智能Key words
oil market/market research methods/digital intelligence/artificial intelligence分类
管理科学引用本文复制引用
王利宁,单卫国,王婧,李男,张荻萩,刘凯雷..石油石化市场数智化研究探索[J].国际石油经济,2024,32(z1):55-60,6.
