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Decision Analysis Based on Artificial Neural Network for Feeding an Industrial Refrigeration System Through the Use of Photovoltaic Energy

  • Fabio Porreca
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 805)

Abstract

The evaluation of the energy availability from renewable sources in the industrial processes is at the basis of many researches in engineering. The non-programmable nature of many of these sources often leads to consider them as a simple support and not as a primary source of supply. With this in mind, this research has been directed to try to exploit the forecasting abilities of the neural networks in order to create scenarios applicable in different high-energy consuming industrial contexts which reckon the optimization of the energy consumption as the new objective of the so called “green business”.

Keywords

Artificial neural network Data mining Renewable energy 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of L’AquilaL’AquilaItaly

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