Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province

Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province

This paper firstly introduces the background and significance of carbon emission prediction in Hebei Province, then collects the data and uses the PSO-LSSVM prediction model to train and predict the data collected through MATLAB software, finally obtains the prediction results. The results show that...

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Main Authors: Sun Wei, Liu Xuyang
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_04030.pdf
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spelling doaj-b31a781077da428cbfb577574377dd8e2021-04-02T15:09:17ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011180403010.1051/e3sconf/201911804030e3sconf_icaeer18_04030Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei ProvinceSun Wei0Liu Xuyang1Department of Business Administration, North China Electric Power UniversityDepartment of Business Administration, North China Electric Power UniversityThis paper firstly introduces the background and significance of carbon emission prediction in Hebei Province, then collects the data and uses the PSO-LSSVM prediction model to train and predict the data collected through MATLAB software, finally obtains the prediction results. The results show that the prediction of PSO-LSSVM are accurate, and it can be used to predict carbon emissions in Hebei Province, Providing a new solution to the carbon emission forecasting of Hebei Province.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_04030.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Sun Wei
Liu Xuyang
spellingShingle Sun Wei
Liu Xuyang
Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province
E3S Web of Conferences
author_facet Sun Wei
Liu Xuyang
author_sort Sun Wei
title Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province
title_short Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province
title_full Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province
title_fullStr Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province
title_full_unstemmed Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province
title_sort application research of pso-lssvm in carbon emission prediction in hebei province
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description This paper firstly introduces the background and significance of carbon emission prediction in Hebei Province, then collects the data and uses the PSO-LSSVM prediction model to train and predict the data collected through MATLAB software, finally obtains the prediction results. The results show that the prediction of PSO-LSSVM are accurate, and it can be used to predict carbon emissions in Hebei Province, Providing a new solution to the carbon emission forecasting of Hebei Province.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_04030.pdf
work_keys_str_mv AT sunwei applicationresearchofpsolssvmincarbonemissionpredictioninhebeiprovince
AT liuxuyang applicationresearchofpsolssvmincarbonemissionpredictioninhebeiprovince
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