Method and device for predicting carbon emission, terminal and computer readable storage medium

Abstract

The invention is suitable for the technical field of power supply, and provides a method and device for predicting carbon emission, a terminal and a computer readable storage medium, and the method for carbon emission prediction comprises the steps: obtaining historical carbon emission data and enterprise information data within a set time, building an autoregressive moving average (ARMA) model according to the historical carbon emission data and the enterprise information data, and obtaining a linear prediction model of the carbon emission; calculating a residual sequence based on the historical carbon emission data and a prediction result of the linear prediction model; constructing a support vector machine (SVM) according to the residual sequence and the enterprise information data, and obtaining a nonlinear prediction model of the carbon emission; and combining the linear prediction model and the nonlinear prediction model to obtain a target prediction model of the carbon emission. The invention can achieve the prediction of the carbon emission in regional industrial planning and construction, provides a reference basis for the formulation of a power supply strategy, and improves the power supply efficiency.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This technology combines two models - an AREM (Arithmetical Exponent Analysis Model) or a Support Vector Machine(SVM). These techniques help predict future values based on factors like energy usage over different periods during which they are generating CO2-related greenhouse gas emissions. They also include advanced analyzer tools that measure specific aspects such as temperature, pressure, wind speed, etc., allowing them to make informed decisions about how best to develop new sources of electricity. Overall this helps improve power supplies by providing better understanding of their impacts on global environmental issues.

Problems solved by technology

This patented method described for predicting CO 2 emission levels accurately during production can be limited due to its limitations with current techniques used on various industries or regions.

Images