Uso da inteligência artificial como ferramenta na análise tarifária do consumo de energia elétrica

Abstract

In the current context of the global energy transition, concerns about energy consumption have become a recurring topic in worldwide discussions. The need for more efficient processes with rational energy use and lower environmental impact drives companies to seek technological solutions to achieve efficient energy consumption. Artificial intelligence is a technology that has been widely applied due to its ability to revolutionize society, with the primary goal of developing solutions that facilitate human-developed processes. This study addresses the use of artificial intelligence as a tool for electricity tariff analysis. A model was developed to evaluate energy bill data from companies, simulating scenarios for demand readjustment, tariff modality, excess reactive energy, and photovoltaic systems as an alternative to optimizing energy consumption. The developed methodology was applied to three companies located in different regions of Brazil. The results indicate that the model demonstrates satisfactory accuracy and precision rates, with the possibility of demand readjustment. Additionally, all analyzed companies showed expenses related to excess reactive energy, meaning costs that could be avoided. The installation of photovoltaic systems was presented as an alternative to reducing energy expenses in the evaluated companies. Thus, it was verified that the developed computational tool effectively contributes to the planning of demand contracting and energy consumption, serving as a basis for managers to understand which actions can be implemented to achieve optimized electricity use.