State monitoring and fault detection for convolutional neural network integrated energy systems

Abstract

The upgrading of the energy industry structure will certainly affect the development of the environment, and the study of the impact of export restrictions is an inevitable trend. This paper firstly establishes time series and panel series models based on Kuznets curve. The concept and mathematical derivation of environmental Kuznets curve are analyzed. The green Solow model is selected to extend the exogenous technology of Solow model to the field of pollution reduction and establish the relationship between energy industry upgrading and environmental development. Secondly, the relationship between economic development and resource consumption and environmental pollution is analyzed based on the concept of decoupled development. Finally, the relationship between total energy consumption and total carbon emission and economic growth is investigated. The carbon emission coefficient is 0.712, the oil emission coefficient is 0.576, and the natural gas emission coefficient is 0.437. The carbon emission of total energy consumption is also in the left half of the inverted U-shaped curve, i.e., the carbon emission is still rising as the economy grows.