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This study introduces an orbital monitoring system designed to quantify non-technical losses (NTLs) within electricity distribution networks. Leveraging Sentinel-2 satellite imagery alongside advanced techniques in computer vision and machine learning, this system focuses on accurately segmenting urban areas, facilitating the removal of clouds, and utilizing OpenStreetMap masks for pre-annotation. Through testing on two datasets, the method attained a Jaccard index (IoU) of 0.9210 on the training set, derived from the region of France, and 0.88 on the test set, obtained from the region of Brazil, underscoring its efficacy and resilience. The precise segmentation of urban zones enables the identification of areas beyond the electric distribution company's coverage, thereby highlighting potential irregularities with heightened reliability. This approach holds promise for mitigating NTL, particularly through its ability to pinpoint potential irregular areas. [ABSTRACT FROM AUTHOR]

The purpose of this article is to examine the correlations between greenhouse gas (GHG) by CO2eq emissions and the use of electricity on the Praia Vermelha campus of the Universidade Federal Fluminense (UFF) located in Brazil. The study favors understanding and management for the sustainability of the campus operations. The research used electricity consumption data from 2017 to 2019 and quantitative and qualitative data collected in 2020, through online research applied at Praia Vermelha campus. An exploratory and descriptive study, providing familiarity with the problem and deepening knowledge about the phenomenon, seeking a correlation between variables and proposing reflections. We observed a reduction in electricity consumption on the campus in the period surveyed from 2017 to 2019, however, there wasn't proportional and significant reduction CO2eq emissions in the period between 2018 until 2019. During this period occurred fluctuations in the dispatches of the different power generating plants, considering renewables and fossils sources. We also found that most of survey respondents agree with to implementation of incentive programs and the dissemination of information about GHG emissions on campus to promote the engagement of the academic environment in the efficient use of electricity. We found few peer-reviewed studies dealing with GHG emissions generated in South American universities. Through a bibliographic review, we investigated the commitment of the universities to sustainability and the management of efficient use of electric energy, as well as the methodology for calculating indirect GHG emissions, in CO2eq, related to purchase energy from the System National Interconnected System (SIN) of Brazil. [ABSTRACT FROM AUTHOR]