An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China

Author:

Qian Wuyong,Wang Jue

Funder

Humanities and Social Science Foundation of Ministry of Education

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference64 articles.

1. Statistical Communique of the People’s Republic of China on national accounts,2019

2. Inequality of renewable energy generation across OECD countries: a note;Sinha;Renew Sustain Energy Rev,2017

3. Statistical Communique of the People’s Republic of China on energy;National Bureau of Statistics,2019

4. A new hybrid for improvement of auto-regressive integrated moving average models applying particle swarm optimization;Asadi;Expert Syst Appl,2012

5. Forecasting electricity generation capacity in Malaysia: an auto regressive integrated moving average approach;Haiges;Energy Procedia,2017

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