INTEGRATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTO BIOENERGY AS AN ORGANIZATIONAL AND ECONOMIC ASPECT OF OPTIMIZING THE USE OF BIOENERGY POTENTIAL OF PROCESSING ENTERPRISES

The article is devoted to the urgent problem of integrating artificial intelligence (AI) and machine learning (ML) technologies into bioenergy as an innovative organizational and economic tool for optimizing the use of bioenergy potential of processing enterprises. The paper analyzes the current trends in the development of bioenergy and substantiates the need to find new approaches to attracting investment in the industry. The features and advantages of AI and ML technologies and their successful application in various fields are considered. The use of AI and ML to solve bioenergy problems is proposed: forecasting bioenergy production, optimizing biomass processing, increasing equipment efficiency, minimizing costs, etc. The application of AI and ML methods for forecasting and analytical support of business processes at bioenergy enterprises is investigated. The algorithms of artificial neural networks, clustering methods, regression analysis for optimization of production, logistics, and sales of biofuels are considered. The paper emphasizes that the integrated implementation of AI, ML and blockchain technology will allow to realize the hidden potential of the bioenergy industry. The proposed solutions will help attract investment, increase economic efficiency and competitiveness of enterprises. The main conclusions indicate that Ukraine has a huge potential for bioenergy development, but this requires solving a number of problems that need to be addressed as a matter of priority. These include securing sufficient funding, developing an effective national development strategy, and ensuring government support. Despite the significant potential of bioenergy in Ukraine, there are obstacles related to financing, strategic planning and government support to fully realize the potential.