This paper presents a data-driven approach to promote photovoltaic (PV) micro-generation systems in the city of Manta, Ecuador, by using QGIS-generated heat maps to identify high-demand areas and assess energy consumption trends citywide. The study not only identifies high-energy consumption areas but also characterizes the city’s overall energy profile, providing a comprehensive overview that informs tailored strategies for promoting PV micro-generation. By examining energy demand across various socio-economic zones—including low-income, middle-income, and high-end residential sectors—the research highlights specific areas where targeted interventions can accelerate the adoption of renewable energy. For instance, QGIS analysis revealed that middle-income regions consume between 300 and 1500 kWh/month, while high-end areas exhibit consumption levels exceeding 3350 kWh/month, making them ideal candidates for PV systems. The study emphasizes the use of QGIS, a free and open-source tool, as an accessible platform for developing countries like Ecuador to conduct detailed geographic analyses at minimal cost. Special consideration is given to tourism-driven regions, where seasonal energy demand fluctuations call for more efficient and resilient energy solutions. The paper also explores policy recommendations, such as community-based solar initiatives and government-led financial incentives, to foster PV adoption across different socio-economic groups. By integrating geographic information systems (GIS) with renewable energy policies, this research provides valuable insights into Ecuador’s energy transition and supports the development of sustainable, low-carbon smart cities.