| Issue |
E3S Web Conf.
Volume 118, 2019
2019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
|
|
|---|---|---|
| Article Number | 04030 | |
| Number of page(s) | 3 | |
| Section | Environmental Protection, Pollution and Treatment | |
| DOI | https://doi.org/10.1051/e3sconf/201911804030 | |
| Published online | 04 October 2019 | |
Application Research of PSO-LSSVM in Carbon Emission Prediction in Hebei Province
1
Department of Business Administration, North China Electric Power University, Baoding 071000, China
2
Department of Business Administration, North China Electric Power University, Baoding 071000, China
* Xuyang Liu:15733220487@163.com
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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