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Title:
CARBON FUTURES PRICE PREDICTION METHOD, APPARATUS, COMPUTER DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2019/165692
Kind Code:
A1
Abstract:
Disclosed are a carbon futures price prediction method, apparatus, computer device and storage medium, and the method comprises: acquiring a current energy source futures price of a specified energy source; and inputting the current energy source futures price into a carbon futures price prediction model that is based on a least squares support vector machine, and predicting the price, wherein a kernel function of the carbon futures price prediction model is a RBF kernel function. The present application is applicable to price prediction for various lengths of time and the training samples thereof are small, such that local minima will thus not occur.

Inventors:
WANG YIWEN (CN)
WANG JIANZONG (CN)
XIAO JING (CN)
Application Number:
PCT/CN2018/083987
Publication Date:
September 06, 2019
Filing Date:
April 20, 2018
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F19/00
Foreign References:
CN102982229A2013-03-20
CN105787599A2016-07-20
CA2847044A12014-09-15
CN105160204A2015-12-16
Other References:
ZHU, ET AL: "Bookmark and Share Email this article Print this article Carbon price prediction based on integration of GMDH, particle swarm optimization and least squares support vector machines", SYSTEMS ENGINEERING-THEORY & PRACTICE, vol. 31, no. 12, 15 December 2011 (2011-12-15), pages 2264 - 2271, ISSN: 1000-6788
MING-TANG TSAI ET AL.: "Application of Radial Basis Function Neural Network for Carbon Price forecasting", APPLIED MECHANICS AND MATERIALS, 30 June 2014 (2014-06-30), ISSN: 1662-7482
Attorney, Agent or Firm:
SHENZHEN MINGRIJINDIAN INTELLECTUAL PROPERTY AGENCY FIRM (GENERAL) (CN)
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