Designing a Comprehensive and Flexible Architecture to Improve Energy Efficiency and Decision-Making in Managing Energy Consumption and Production in Panama

• Published in: Applied sciences Vol. 13; no. 9; p. 5707
• Main Authors: Nuñez, Ivonne, Cano, Elia Esther, Cruz, Edmanuel, Rovetto, Carlos
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2023
• Subjects: Alternative energy sources; Applications programs; Artificial intelligence; artificial intelligence (AI); Cloud computing; Computer architecture; Decision making; Electric power grids; Electric vehicles; Energy consumption; Energy efficiency; Energy industry; Energy storage; Energy usage; Energy use; Internet of Things; internet of things (IoT); mobile application; Power lines; Production processes; Supply and demand; Panama
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app13095707

In recent years, the integration of new elements to the electric grid, such as electric vehicles and renewable energies, requires the evolution of the electric grid as we know it, making it necessary to optimize the processes of production, distribution, and storage of energy. This situation gives rise to introducing the so-called Smart Grids (SG), which would allow a balance between energy supply and demand, thus enabling a system in which the consumer will also become a producer of its surplus energy. Under this scenario, this work proposes an architecture whose technological components, such as the internet of things (IoT), artificial intelligence (AI), cloud computing, and mobile applications, allow users to address the problem of consumption and production of electricity. In the experiments conducted, results were obtained from the components that support the functionality of the proposed platform.