Journal Article10.1016/J.IJEPES.2014.12.036
Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
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TL;DR: The results indicate that the proposed LS-SVM model is an accurate and a quick prediction method for electricity energy consumption of Turkey.
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About: This article is published in International Journal of Electrical Power & Energy Systems. The article was published on 01 May 2015. The article focuses on the topics: Energy consumption & Electricity generation.
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References
Electricity consumption forecasting in Italy using linear regression models
TL;DR: In this paper, the influence of economic and demographic variables on the annual electricity consumption in Italy has been investigated with the intention to develop a long-term consumption forecasting model, and different regression models were developed, using historical electricity consumption, gross domestic product, population, and GDP per capita.
586
Some new results on neural network approximation
TL;DR: It is shown that standard feedforward networks with as few as a single hidden layer can uniformly approximate continuous functions on compacta provided that the activation function @j is locally Riemann integrable and nonpolynomial.
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Electricity consumption and economic growth: evidence from Turkey
TL;DR: In this article, the authors investigated the causal relationship between electricity consumption and real GDP in Turkey during the period of 1950-2000 and found that the series were found to be a stationary process around a structural break by the Zivot and Andrews test.
572
Greek long-term energy consumption prediction using artificial neural networks
TL;DR: The proposed approach can be useful in the effective implementation of energy policies, since accurate predictions of energy consumption affect the capital investment, the environmental quality, the revenue analysis, the market research management, while conserve at the same time the supply security.
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Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression
TL;DR: The results show that electricity consumption can be modeled using Support Vector Regression and the models can be used to predict future electricity consumption.
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