7   Artículos

 
en línea
Oana Marin, Tudor Cioara and Ionut Anghel    
Buildings can become a significant contributor to an energy system?s resilience if they are operated in a coordinated manner to exploit their flexibility in multi-carrier energy networks. However, research and innovation activities are focused on single-... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Oana Marin, Tudor Cioara, Liana Toderean, Dan Mitrea and Ionut Anghel    
Blockchain and tokens are relatively new research areas insufficiently explored from both technical and economic perspectives. Even though tokens provide benefits such as easier market access, increased liquidity, lower transaction costs, and automated t... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Alexandru-Ioan Florea, Ionut Anghel and Tudor Cioara    
The adoption of remote assisted care was accelerated by the COVID-19 pandemic. This type of system acquires data from various sensors, runs analytics to understand people?s activities, behavior, and living problems, and disseminates information with heal... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Bianca Goia, Tudor Cioara and Ionut Anghel    
Virtual power plants (VPPs) are promising solutions to address the decarbonization and energy efficiency goals in the smart energy grid. They assume the coordination of local energy resources such as energy generation, storage, and consumption. They are ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Claudia Antal, Tudor Cioara, Ionut Anghel, Marcel Antal and Ioan Salomie    
The Distributed Ledger Technology (DLT) provides an infrastructure for developing decentralized applications with no central authority for registering, sharing, and synchronizing transactions on digital assets. In the last years, it has drawn high intere... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Dorin Moldovan, Ionut Anghel, Tudor Cioara and Ioan Salomie    
Daily living activities (DLAs) classification using data collected from wearable monitoring sensors is very challenging due to the imbalance characteristics of the monitored data. A major research challenge is to determine the best combination of feature... ver más
Revista: Applied Sciences    Formato: Electrónico

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