- Yangbin Zeng
- College of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China
- DOI: 10.5281/zenodo.13208410
- Global Academic and Scientific Journal of Multidisciplinary Studies (GASJMS)
Abstract: As a strategic
material and important commodity related to the national economy and people’s
livelihood, refined oil products analyze its industry trend under the
background of existing national policies, which is also of great
signifi-cance to energy security. Based on the development trend and
characteristics of the refined oil products industry, this paper analyzes the
current situation of the development of the refined oil products industry in
Tibet’s Qamdo region under the new price policy, combs through the
influencing factors affecting the growth of the demand for refined oil
products in Tibet’s Qamdo region, carries out the qualitative and
quantitative decomposition and measurement of the main driving variables,
establishes a forecast model of Qamdo’s refined oil products demand, and
applies the neural network model to forecast the 2023-2027 The demand of
refined oil products, which provides theoretical support for the development
of refined oil products market in Qamdo region of Tibet, and provides certain
reference and inspira-tion for the future development of the market. |
Keywords: Refined oil products, demand
forecasting, BP neural network, new price policy,