2025-05-202025-05-202025-04-03CORRÊA, Kalil Lucas da Silva. Extração de dados de faturas de energia elétrica da UFPA: uma solução em python para gestão de contratos. Orientador: Allan Rodrigo Arrifano Manito. 2025. 77 f. Trabalho de Curso (Bacharelado em Engenharia Elétrica e Biomédica) – Faculdade de Engenharia Elétrica e Biomédica, Instituto de Tecnologia, Universidade Federal do Pará, Belém, 2025. Disponível em: https://bdm.ufpa.br/handle/prefix/8179 . Acesso em:.https://bdm.ufpa.br/handle/prefix/8179This work presents the development of a Python programming language-based tool for the automated extraction of data from electricity bills, aiming to facilitate the technical analysis of demand and tariffs in consumer units at the Federal University of Pará (UFPA). Efficient management of these data provides a more detailed view of the factors affecting operational costs, enabling the identification of inefficiencies and opportunities for optimization. Thus, the tool becomes an essential support for strategic decision-making focused on cost reduction and energy efficiency. The research was based on billing data provided by the University Administration and Grupo Equatorial, the electricity distribution company in Pará, allowing for an in-depth analysis of consumption patterns and existing inefficiencies. Given UFPA's structure, which includes multiple campuses with distinct characteristics, the study considers the particularities of units, such as variations in demand throughout the academic year, the influence of low-utilization periods, seasonality, and specific climatic factors in the Amazon region. These elements directly impact energy management quality and require an approach tailored to the institutional context. The developed tool enables a more precise analysis of electricity bills, providing insights for adjusting contracted demand, identifying undue charges, and detecting energy waste. Additionally, its use allows for greater control over the institution's energy assets, promoting more efficient and sustainable management. The implementation of this methodology can serve as a reference for other universities and public institutions seeking to improve their operational cost management and optimize the use of available energy resources.Acesso AbertoGestão de energiaConsumo de energia elétricaEficiência energéticaAutomação de dadosAnálise de faturasOtimização de custosInfraestrutura elétrica universitáriaEnergy managementElectricity consumptionEnergy efficiencyData automationBill analysisCost optimizationUniversity electrical infrastructureCNPQ::ENGENHARIAS::ENGENHARIA ELETRICATrabalho de Curso - Graduação - MonografiaAttribution-NonCommercial-NoDerivs 3.0 Brazil