An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting-Reference-Cited by-同舟云学术

An evolutionary cost‐sensitive support vector machine for carbon price trend forecasting

Published:2022-10-13 Issue: Volume: Page:
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Zhu Bangzhu¹,Zhang Jingyi²,Wan Chunzhuo²,Chevallier Julien³⁴,Wang Ping⁵

Affiliation:

1. School of Business Guangxi University Nanning China

2. Business School Guilin University of Electronic Technology Guilin China

3. IPAG Business School, IPAG Lab Paris France

4. Université Paris 8 (LED) Saint‐Denis France

5. Management School Jinan University Guangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2916

Reference27 articles.

1. Modeling of carbon credit prices using regime switching approach

2. Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data

3. Nonparametric modeling of carbon prices

4. Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms

5. A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization

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