A novel machine learning approach for estimation of electricity demand: An empirical evidence from Thailand

Author:

Mostafavi Elham Sadat,Mostafavi Seyyed Iman,Jaafari Arefeh,Hosseinpour Fariba

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference55 articles.

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4. Cho MY, Hwang JC, Che S. Customer short term load forecasting by using ARIMA transfer function model. In: Proceedings of the international conference on energy management and power delivery. Singapore: EMPD’95; 20–23 November 1995. p. 317–22.

5. Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis;Abdel-Aal;Energy,1997

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