An overview of energy demand forecasting methods published in 2005–2015-Reference-Cited by-同舟云学术

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An overview of energy demand forecasting methods published in 2005–2015

Published:2016-04-26 Issue:2 Volume:8 Page:411-447
ISSN:1868-3967
Container-title:Energy Systems
language:en
Short-container-title:Energy Syst

Author:

Ghalehkhondabi Iman,Ardjmand Ehsan,Weckman Gary R.,Young William A.

Publisher

Springer Science and Business Media LLC

Subject

General Energy,Economics and Econometrics,Modelling and Simulation

Link

http://link.springer.com/content/pdf/10.1007/s12667-016-0203-y.pdf

Reference147 articles.

1. Kazemi, A., Hosseinzadeh, M.: A multi-level fuzzy linear regression model for forecasting industry energy demand of Iran. Proc. Soc. Behav. Sci. 41, 342–348 (2012)

2. Utama, N.A., Ishihara, K.N., Tezuka, T., Farzaneh, H., McLellan, B., Zhang, Q.: Energy Demand Forecast for South East Asia Region: an econometric approach with relation to the energy per capita “Curve”. In: Zero-Carbon Energy Kyoto 2012, pp. 31–41. Springer, Japan (2013)

3. Iranmanesh, H., Abdollahzade, M., Miranian, A.: Mid-term energy demand forecasting by hybrid neuro-fuzzy models. Energies 5(1), 1–21 (2011)

4. Ekonomou, L.: Greek long-term energy consumption prediction using artificial neural networks. Energy 35(2), 512–517 (2010)

5. An, N., Zhao, W., Wang, J., Shang, D., Zhao, E.: Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting. Energy 49, 279–288 (2013)

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