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Smart city article details

Title Living Lab Long-Term Sustainability In Hybrid Access Positive Energy Districts - A Prosumager Smart Fog Computing Perspective
ID_Doc 35387
Authors Vohnout R.; Bukovsky I.; Chou S.-Y.; Geyer J.; Budik O.; Sharma R.; Prokysek M.; Horvath T.; Wyckmans A.
Year 2023
Published IEEE Internet of Things Journal, 10, 21
DOI http://dx.doi.org/10.1109/JIOT.2023.3280594
Abstract Living lab, one of the recent emerging smart city concepts, faces long-term sustainability challenges associated with its complexity and breadth of use. To be efficient, it must rely on comprehensive set of information distributed appropriately among all stakeholders to unleash its full innovation potential. This is especially true in the case of positive energy districts (PEDs), where timely data dissemination is essential for prosumager decisions and their greedy behavior. This article interconnects intelligent information exchange, supported by ultralow latency hybrid access network infrastructure, with the clever use of available fog computing resources to properly disseminate complex energy details to all participating entities. As the optimal task offloading for effective information distribution constitutes the convergence problem, we reintroduced higher order neural units. These units contribute to sustaining both computational and energy efficiency, as well as the balance of the entire system. We have achieved a reliable hourly energy consumption prediction with a computationally very lightweight alternative to commonly used deep neural network approaches that can be deployed on available smart appliances with ease. The application and simulation were performed on the data set provided by one of Europe's smart city pioneers, where the prosumager PED transition has already started. © 2023 IEEE.
Author Keywords Access network; fog computing; high order neural unit (HONU); living lab (LL); polynomial neuron; positive energy district (PED); prosumager; smart city; stability; tactile Internet (TI)


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