Work

A hybrid model based on selective ensemble for energy consumption forecasting in China

Year: 2018

Type: article

Source: Energy

DOI: 10.1016/j.energy.2018.06.161

Authors: Jin Xiao, Yuxi Li, Ling Xie, Dunhu Liu, Jing Huang

Institutions: Sichuan University, Chengdu University of Information Technology

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, Science Foundation for Excellent Youth Scholars of Sichuan University

Awards: 战略性新兴产业技术创新联盟知识转移机制及对创新绩效的影响模型研究- - 基于四川省的实证, 大数据环境下基于GMDH的客户分类半监督集成模型研究

OpenAlex ID: W2810273060

FWCI: 12.17

Cites: 50

Cited by: 126

Related to: 10