Detail publikace

Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts -A Prosumager Smart Fog Computing Perspective

VOHNOUT, R. BUKOVSKÝ, I. CHOU, S. GEYER, J. BUDÍK, O. SHARMA, R. PROKÝSEK, M. HORVÁTH, T. WYCKMANS, A.

Originální název

Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts -A Prosumager Smart Fog Computing Perspective

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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, where timely data dissemination is essential for prosumager decisions and their greedy behaviour. This paper interconnects intelligent information exchange, supported by ultra-low 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 distribution of information using proper task offloading is the convergence problem, we recalled higher-order neural units that helped maintain computational and energy efficiency in conjunction with the preservation of the overall system stability. 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 dataset provided by one of Europe’s smart city pioneers, where the prosumager positive energy district transition has already started.

Klíčová slova

Living Lab; Positive Energy District; Smart City; Prosumager; Access Network; Tactile Internet; Fog Computing; Polynomial Neuron; High Order Neural Unit; Stability

Autoři

VOHNOUT, R.; BUKOVSKÝ, I.; CHOU, S.; GEYER, J.; BUDÍK, O.; SHARMA, R.; PROKÝSEK, M.; HORVÁTH, T.; WYCKMANS, A.

Vydáno

1. 11. 2023

Nakladatel

IEEE

ISSN

2327-4662

Periodikum

IEEE Internet of Things Journal

Ročník

10

Číslo

21

Stát

Spojené státy americké

Strany od

18898

Strany do

18908

Strany počet

11

URL

https://ieeexplore.ieee.org/document/10137645/

BibTex

@article{BUT183639,
  author="Rudolf {Vohnout} and Ivo {Bukovský} and Shuo-Yan {Chou} and Jakub {Geyer} and Ondřej {Budík} and Rohit {Sharma} and Miloš {Prokýsek} and Tomáš {Horváth} and Annemie {Wyckmans}",
  title="Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts -A Prosumager Smart Fog Computing Perspective",
  journal="IEEE Internet of Things Journal",
  year="2023",
  volume="10",
  number="21",
  pages="18898--18908",
  doi="10.1109/JIOT.2023.3280594",
  issn="2327-4662",
  url="https://ieeexplore.ieee.org/document/10137645/"
}