| Title |
Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts-A Prosumager Smart Fog Computing Perspective |
| ID_Doc |
42590 |
| Authors |
Vohnout, R; Bukovsky, I; Chou, SY; Geyer, J; Budik, O; Sharma, R; Prokysek, M; Horvath, T; Wyckmans, A |
| Title |
Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts-A Prosumager Smart Fog Computing Perspective |
| Year |
2023 |
| Published |
Ieee Internet Of Things Journal, 10, 21 |
| DOI |
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. |
| Author Keywords |
Edge computing; Smart cities; Task analysis; Optimization; Computer architecture; Technological innovation; Decision making; 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) |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001098109800044 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://ieeexplore.ieee.org/ielx7/6488907/6702522/10137645.pdf
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