Over time, several relationships have been defined between electricity consumption and a region’s social and economic variables, with income as the main factor. This paper uses multiple correspondence analysis to identify the categories of dwellings and, from a graphical point of view (positioning maps), the effects of the different characteristics that influence the electricity consumption of households in rural areas of Cundinamarca, Colombia. In this analysis, the consumption of residential users responded mainly to what they can afford or acquire based on their income, consumption habits, and the characteristics of the technology. Furthermore, this study highlights the implications of these findings for policymakers and energy providers, providing valuable insights for developing targeted strategies to promote energy efficiency and sustainability in rural areas. This research contributes to a deeper understanding of the dynamics of electricity consumption and highlights the importance of tailoring energy-related interventions to the specific socio-economic context of rural communities, in this case in Cundinamarca.

Con el fin de mejorar la gestión en los Sistemas eléctricos de Potencia (SEP), se han desarrollado en la última década tecnologías para la supervisión y monitoreo de las señales (fasores), entre las que se cuenta la Unidad de Medida Sincrofasorial o PMU (Phasor Measurement Unit), cuya medición resultante es el sincrofasor. En el presente documento se realiza una revisión acerca de sincrofasores, las tendencias de su utilización en la detección de distancia de fallas eléctricas, y cómo se están aplicando en los dispositivos de supervisión, control y protección que se encuentran en una subestación moderna.

Context: This article examines access to electrification in rural areas within the framework of Sustainable Development Goal 7 (SDG7), which seeks to ensure access to modern, affordable, and sustainable energy for all. It identifies common barriers to energy access in rural communities and highlights the limitations of conventional approaches, emphasizing the need for integrative and participatory decision-making processes in rural electrification projects. Method: This study proposes an integrative decision-making model based on design thinking, the systemic approach, participatory action research (PAR), and the principles of behavioral economics. This model prioritizes community participation and the cultural and contextual appropriateness of electrification solutions, supported by participatory tools such as empathy maps and digital surveys to identify both explicit and latent energy needs and preferences. Results: The results show that integrating participatory and behavioral approaches strengthens community governance, improves the acceptance of electrification systems, and optimizes the use of technical and financial resources. Active community engagement increases trust in energy solutions, while behavioral design strategies promote more efficient energy use without compromising user comfort. Additionally, participatory tools reveal non-obvious energy demands and social barriers often overlooked by purely technical assessments. Conclusions: The findings demonstrate that a successful rural electrification depends not only on technological solutions, but also on inclusive, context-aware decision-making processes. The proposed integrative model contributes to sustainable human development by enhancing the acceptance and long-term sustainability of electrification projects in rural areas.