Electricity Demand Analysis Using Cointegration and ARIMA Modelling: A case study of Turkey
By Erkan Erdogdu. 2007
335 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/eab70b70fc62520e5097ba5a593d1feac1a8e771
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In Electrical and Electronic Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review (2011, result): “[262] E. Erdogdu 2007 An ARIMA modeling using co-integration analysis and autoregressive integrated moving average, focusing on “energy crisis in Turkey” by both providing an electricity demand estimation and forecast, and comparing the results with official projections.”
- Industrial electricity demand for Turkey: A structural time series analysis (2011, methodology): “but less than that found by Erdogdu (2007) and Halicioglu (2007).”
- Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China (2012, methodology): “Erdogdu (2007) used cointegration and ARIMA modeling to predict the electricity demand in Turkey.”
- Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach (2012, background): “Empirical studies on micro-based electricity demand studies include the following; Houthakker (1951); Fisher and Kaysen (1962); Baxter and Rees (1968); Holtedahl and Joutz (2004); Psiloglou et al.”
- Natural gas demand in Turkey (2009, background): “The present paper is a part of wider study on Turkish energy market, a part of which is published in Energy Policy [1].”