Based on the Grey Relational Analysis of Energy Consumption Structure of Shandong Province

Abstract

Due to the unreasonable industrial structure and energy structure, the development of provincial economy of Shandong province is slowing in decade years. In order to found the root cause of the problem, improve the energy development and the economic structure in Shandong province, achieve economic development bottleneck breakthrough, this study made a comprehensive analysis on the situation of energy consumption of Shandong Province and then introduces the method of grey correlation on the energy structure of Shandong Province, analyzes the problems. This study has certain theory significance and practical application value, the coordinated development of economy and energy development in Shandong province and has certain guiding innovation significance of relevant field.

The Advantages of Artificial Intelligence in Operational Decision Making

“…This ability is supported by various research studies. For example, Liu & Ma (2013) conducted an analysis of the energy consumption structure of Shandong Province, finding a positive relationship between economic growth and energy consumption. Letaief et al (2022) highlighted the resource-intensive nature of state-of-the-art AI systems, which can lead to latency, energy consumption, network congestion, and privacy concerns.…”