According to Google News, the Covid-19 pandemic, affected around 530 million people, which is approximately 15% of the world's population. Given the rapid spread and mutability of the virus, it was found to have a major influence on mobility and the environment worldwide. Thus, it becomes relevant to evaluate the changes related to the displacements made by the Portuguese. Through this analysis, it will also be...
The Internet of Things (IoT) has enabled real-time monitoring of energy consumption in smart homes through sensors embedded in the surrounding environment. In the post-pandemic world, domestic energy management has gained importance due to increased work-from-home consumption, making data collection in a smart home a relevant IoT application with many potential energy savings. However, this information is diffi...
Online activity has increased over the years and has become a staple in modern society. With it, online shopping businesses have become more common, as well as the number of Internet of Things (loT) devices. As the shopping experience becomes less personal, some people try to exploit the system causing online businesses to increasingly suffer from return frauds. This paper proposes a solution to this problem, i...
Online activity has increased over the years and has become a staple in modern society. With it, online shopping businesses have become more common, as well as the number of Internet of Things (IoT) devices. As the shopping experience becomes less personal, some people try to exploit the system causing online businesses to increasingly suffer from return frauds. This paper proposes a solution to this problem, i...
This paper presents a study on smart gardens in the context of smart cities, a topic that has been gaining more and more interest from the public due to the numerous problems that are felt both in terms of the environment and in terms of food consumption which, due to population increase and migration towards cities, has become a sustainability problem as agricultural production is moving further away from the ...
The decentralization in the electrical power grids has gained increasing importance, especially in the last two decades, since transmission system operators (TSO), distribution system operators (DSO) and consumers are more aware of energy efficiency and energy sustainability issues. Therefore, globally, due to the introduction of energy production technologies near the consumers, in residential and industrial s...
The smart city concept, in which data from different systems are available, contains a multitude of critical infrastructures. This data availability opens new research opportunities in the study of the interdependency between those critical infrastructures and cascading effects solutions and focuses on the smart city as a network of critical infrastructures. This paper proposes an integrated resilience system l...
Energy consumption in buildings depends on the local climate, building characteristics, and user behavior. Focusing on user interaction, this research work developed a novel approach to monitoring and interaction with local users by providing in situ context information through graphic descriptions of energy consumption and indoor/outdoor environment parameters: temperature, luminosity, and humidity, which are ...
Os modelos BIM são maioritariamente gerados e usados no contexto do projeto e construção. Contudo, a informação que contêm é cada vez mais utilizada na gestão dos edifícios e cidade. Este trabalho descreve o desenvolvimento de ferramentas baseadas em modelos BIM que são enquadradas no conceito de Smart City. Estas aplicações contêm informação geométrica e funcional da construção e trocam dados com outras fontes...
People in shared building space have an important role in energy consumption because they can turn on/off equipment and heat/cooling systems. This behaviour can be influenced by giving then locally tailored context information (energy consumption, temperature, luminosity) and information about the cost of their actions. This paper presents an approach to create personalized local energy consumption predictions ...