A Data-Driven Architecture for Smart Renewable Energy Microgrids in Non-Interconnected Zones: A Colombian Case Study

Colmenares-Quintero, Ramón Fernando; Maestre-Gongora, Gina; Valderrama-Riveros, Oscar Camilo; Baquero-Almazo, Marieth; Stansfield, Kim E.

doi:10.3390/en16237900

Cited by 3 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, smart grids can use advanced sensors, communication, and control systems to manage the demand and supply of electricity, integrating various distributed energy sources and enabling demand response and load shifting [19]. Geospatial data-driven approaches can support the planning and operation of smart grids by providing spatial and temporal information on the availability and potential of alternative energy resources, the location and characteristics of energy infrastructure and consumers, and the environmental and social impacts of energy production and consumption [20]. Another environmental challenge is the reduction of the use of private motorized vehicles.…”

Section: Smart Cities and Sustainabilitymentioning

confidence: 99%

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Costa,

Bittencourt,

Oliveira

et al. 2024

Sustainability

View full text Add to dashboard Cite

In recent years, the concept of smart cities has become increasingly important in the pursuit of sustainable development goals. In general, common urban challenges have been addressed through smart-city services, and new perspectives for more sustainable cities have emerged. To realize the full potential of such smart urban environments, geospatial approaches have been used as a focal point, offering a plethora of applications that contribute to a better understanding of urban challenges and innovation potentials. Nevertheless, although significant progress has been made, different problems may arise when the available technologies and resources are not understood or even when their potentialities are not properly capitalized. This article reviews the state of the art in the field, highlighting success cases and remaining challenges in exploiting geospatial data-driven strategies, particularly when leveraging geographic information systems, satellites, and distributed sensors to produce and process geospatial data and datasets in urban scenarios. Moreover, a more organized perspective of the area is provided in this article, as well as future development trends, supporting new research efforts in this area when empowering smart cities for a more sustainable future.

show abstract

Section: Smart Cities and Sustainabilitymentioning

confidence: 99%