Carbon emission prediction method and device, storage medium and processor

Abstract

The invention discloses a carbon emission prediction method and device, a storage medium and a processor. The method comprises the steps that prediction data of a predetermined area in a prediction year is acquired, a first model is used for representing an association relationship between electricity consumption and a temperature parameter, control variables of the first model further comprise a population parameter, an urbanization rate, a total production value and a second industry proportion, and the first model is trained through machine learning by using multiple groups of data; a second model is used for analyzing the predicted electricity consumption, the predicted year and the predicted total production value, the predicted carbon emission is determined, the second model is used for representing the incidence relation between the carbon emission and the electricity consumption, control variables of the second model further comprise the year and the total production value, and the second model is trained through machine learning by using multiple sets of data. The technical problem that the carbon emission cannot be predicted based on the environment temperature is solved.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a carbon emission prediction method, device, storage medium and processor. Background technique [0002] Energy security, climate change and environmental pollution are the three major challenges facing my country's sustainable development, and the development and implementation of energy-saving and emission-reduction technologies is an important trend and trend in the world. [0003] At present, the research on the influencing factors of carbon emissions is very extensive, covering many aspects of the economy and society. Existing research on carbon emission forecasting mainly focuses on the analysis of factors affecting carbon emissions, carbon emission forecasts at different levels such as countries, regions, provinces and cities, and in different industries. For the prediction of carbon emissions at the provincial level, scholars have used a variety of model methods to...

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Problems solved by technology

[0006] Embodiments of the present invention provide a method, device, storage medium, and processor for predicting carbon emissions, so as to at least solve the technical problem that carbon emissions cannot be predicted based on ambient temperature

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