Predicting the Total Energy Potential for Different Plant Species Using Artificial Neural Networks

Abstract

The use of waste wood and agricultural biomass as renewable energy sources has in recent years been a practical and reliable way to obtain energy in most EU countries. Numerous scientific and practical researches are focused on the possibilities of using different sources of waste wood and plant biomass for energy purposes, as well as for other possible needs. A well-planned supply chain of waste wood and plant biomass in Serbia, with appropriate preparatory technologies, can significantly influence the rational use of available resources. This paper presents the application of artificial neural networks in predicting the energy potential of waste from agricultural production. The paper uses data from certain territories of the Republic of Serbia. The results indicate the possibilities of successful use of neural networks in the analysis of the energy potential of individual territories.