Public Sector Policy of Estimating Model for Renewable Energy

Saring Suhendro, Mega Matalia and Sari Indah Oktanti Sembiring
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Saring Suhendro: Department of Accounting, Faculty of Economics and Business, Universitas Lampung, Indonesia
Mega Matalia: Department of Accounting, Faculty of Economics and Business, Universitas Lampung, Indonesia
Sari Indah Oktanti Sembiring: Department of Accounting, Faculty of Economics and Business, Universitas Lampung, Indonesia

International Journal of Energy Economics and Policy, 2021, vol. 11, issue 5, 609-613

Abstract: Renewable energies are crucially needed right now. One of the them is ethanol as a non-fossil energy source. Data time-series of world demand for ethanol are very interesting to find its forecasting models, so that the production targets can be more accurate. Generalised auto-regressive conditional heteroscedasticity is one of the best models we use. Our findings AR(1) - Generalised Auto-Regressive Conditional Heteroskedasticity (GARCH) (1,1) modelsare considered as a good-fit measurement in predicting ethanol demand. Increasing the number of demand should be considered with the number of its processes. In this paper, we combine an analysis of economic considerations (predicting demand levels) with a political analysis of policies (describing renewable energy policy options).

Keywords: Renewable energies; Ethanol; GARCH model; Forecasting; Energy policy (search for similar items in EconPapers)
JEL-codes: C5 C53 H2 H25 Q4 Q47 (search for similar items in EconPapers)
Date: 2021
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