Abstract
The increasing demand for renewable energy sources attract attention of both researchers and governments. The countries support renewable energy and technologies developed for the efficient use of renewable energy. For this reason, the assessment and prediction of renewable energy consumption is vital for governments. Furthermore, associations put forward long-term and short-term targets for countries. Therefore, European Union (EU) members provide support schemes for promoting renewable energy consumption. In this study, renewable energy consumption in EU is predicted using artificial neural networks. The World Development indicators which are renewable electricity output, energy use generated from combustible renewables and waste, electricity production from oil, gas and coal sources, energy use generated from alternative and nuclear energy, electricity production from renewable sources excluding hydroelectric, energy imports, energy use, gross domestic product (GDP) and population are evaluated as independent variables using historical data from 1990 to 2015. The results indicate that artificial neural networks provides convenient results in energy demand forecasting as seen in similar studies of the literature.
Highlights
Renewable energy sources, with a significant increase in Europe and worldwide is a clean alternative to fossil fuels
Data points are almost adjacent to y=x line which is showing that obtained Artificial neural networks (ANN) provides a highly reliable fit as the observed and predicted values are very close to each other
An ANN has been developed for the prediction of renewable energy consumption in European Union (EU) using World Development Indicators through years 1990-2015
Summary
With a significant increase in Europe and worldwide is a clean alternative to fossil fuels. They are used in a wide variety of application areas including industry, automobiles, agriculture, heating and cooling. Solar PV alone accounts for almost 60% of this expected growth, with onshore wind representing one-quarter. For this purpose, EU energy policy is concentrating on both the promotion of renewable energy and the technologies to use it efficiently. As well as, putting forward renewable energy a prevalent source of clean energy, the prediction of its consumption is vital for governments to provide relevant support schemes.
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