Starting from a commercial drone AR Dron Parrot 2.0, an autonomous navigation process is developed with a PRM probabilistic route planner in real time, through a ROS network between the drone and the Gazebo simulation software. Using the robotics system toolbox from software Matlab that interacts with Gazebo, it is possible to study the desired trajectory planner, in addition, the creation and connection of the ROS network on the Linux operating system, where the navigation algorithm is analyzed from the practical vs., simulation points of views. The errors that are presented are minimal, taking into account the propagation delays and the control algorithm; this is in charge of receiving location information in order to correct and minimized the mean square error.

El presente artículo describe la investigación que condujo a la implementación de un aplicativo WEB que permite la integración de usuarios en un programa de respuesta de la demanda (RD) por incentivos. Para esto, se ha diseñado un agente integrador que coordina la participación de los usuarios y evalúa económicamente el costo del servicio de RD que se oferta a un operador de red del mercado eléctrico colombiano. El aplicativo permite a su vez que el operador de red verifique la viabilidad técnica de realizar la oferta de desconexiones de potencia que el agente integrador le envía. Los resultados son ilustrados a través de un caso de estudio donde se toma una red estándar del Instituto de Ingenieria Eléctrica y Electrónica denominada red IEEE de 14 nodos como escenario de prueba

The present article discusses the development of a demand response system on a residential setting given that the proper management of energy resources by users can solve scarcity and energy reliability issues. The behavior of 1000 residential users is modelled through a peak control program based on economic and energy-related incentives. A demand response (DR) application is used where remuneration depends on scarcity pricing. The case study is shown including a mathematic algorithm and the application. The results obtained with the application exhibit a reduction of energy peaks, which translates into more efficient energy management which in turn is remunerated by scarcity pricing. It is concluded that the incentive-based DR program is viable both energy-wise and financially.

This work presents the design, development, and proof-of-concept validation of a smart greenhouse for romaine lettuce (Lactuca sativa var. longifolia) that integrates Internet of Things (IoT) sensing/actuation with an image-based crop state assessment pipeline. The proposed pipeline combines a lightweight AI image classifier with fractal texture descriptors (box-counting fractal dimension) to support the non-destructive monitoring of leaf condition and growth stage. The system also implements resilience-oriented resource strategies, including rainwater harvesting, graywater reuse, and a hybrid power supply (photovoltaic + grid backup). Water and energy indicators are reported as estimated values derived from the prototype operating profile and literature-based baseline values (i.e., contextual comparisons rather than a contemporaneous controlled trial). Using an expanded dataset (n = 1500 images) and an independent held-out test subset (n = 350), the image classifier achieved 97.1% accuracy, with detailed precision/recall/F1 metrics reported in the Results. Overall, the proposed architecture and evaluation workflow provide an accessible and reproducible pathway toward sustainable, low-cost smart greenhouses in resource-constrained settings.

This paper addresses the energy efficiency issue in household appliances, which has led to the establishment of policies at a global level in favor of setting minimum energy performance standards (MEPS), which guarantee end users are able to select more efficient equipment. The countries of the United States, Brazil, Mexico, Chile, and the Community of the European Union were taken as references to review their policies and implementation strategies, in order to be compared with the Colombian panorama (at the market, technical and political levels). This allows the establishment of common aspects and differences related to the determination of energy consumption, adjusted volume, and formalization of efficiency ranges, and in the specific case of domestic refrigeration. Managing to distinguish the most relevant aspects for the successful adoption of these policies in Colombia. It is evident that the implementation of these guidelines has a positive impact on the market of the countries and communities of reference. Similarly, the MEPS are shown as a mechanism to regulate energy consumption in the residential sector.