Carbon price prediction based on LsOALEO feature selection and time-delay least angle regression-Reference-Cited by-同舟云学术

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Carbon price prediction based on LsOALEO feature selection and time-delay least angle regression

Published:2023-09 Issue: Volume:416 Page:137853
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Li Dong,Ren Xiaofei

Funder

Shaanxi University of Science and Technology

Xi'an University of Posts and Telecommunications

Education Department of Shaanxi Province

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference55 articles.

1. Gradient-based optimizer: a new metaheuristic optimization algorithm;Ahmadianfar;Inf. Sci.,2020

2. Novel approach to predicting blast-induced ground vibration using Gaussian process regression;Arthur;Eng. Comput.,2020

3. Support vector machines for classification and regression;Brereton;Analyst,2010

4. Forecasting carbon futures volatility using GARCH models with energy volatilities;Byun;Energy Econ.,2013

5. Modeling of carbon credit prices using regime switching approach;Canakoglu;J. Renew. Sustain. Energy,2018

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