Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts—A Prosumager Smart Fog Computing Perspective-Reference-Cited by-同舟云学术

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

Published:2023-11-01 Issue:21 Volume:10 Page:18898-18908
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Vohnout Rudolf¹^ORCID,Bukovsky Ivo¹,Chou Shuo-Yan²^ORCID,Geyer Jakub¹,Budik Ondrej¹^ORCID,Sharma Rohit³^ORCID,Prokysek Milos¹,Horvath Tomas⁴^ORCID,Wyckmans Annemie⁵

Affiliation:

1. Department of Computer Science, Faculty of Science, University of South Bohemia in České Budějovice, České Budějovice, Czech Republic

2. Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan

3. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, NCR Campus, Ghaziabad, India

4. Department of Telecommunications, Brno University of Technology, Brno, Czech Republic

5. Department of Architecture and Planning, NTNU-Norwegian University of Science and Technology, Trondheim, Norway

Funder

H2020 Societal Challenges

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10288305/10137645.pdf?arnumber=10137645

Reference66 articles.

1. Positive energy districts: Mainstreaming energy transition in urban areas

2. Building a better microgrid with hardware in the loop;maloney;Microgrid Knowledge,2019

3. Positioning Positive Energy Districts in European Cities

4. An Input to State Stability Approach for Evaluation of Nonlinear Control Loops with Linear Plant Model

5. Characterizing Positive Energy District (PED) through a Preliminary Review of 60 Existing Projects in Europe

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Overview of the Use of Deep Learning Algorithms to Predict Bankruptcy;Lecture Notes in Networks and Systems;2024

2. A Study and Comparison of Cryptographic Mechanisms on Data Communication in Internet of Things (IoT) Network and Devices;Lecture Notes in Networks and Systems;2024

3. Sentiment Analysis Survey Using Deep Learning Techniques;Lecture Notes in Networks and Systems;2024

4. OpenFace Tracker and GoogleNet: To Track and Detect Emotional States for People with Asperger Syndrome;Lecture Notes in Networks and Systems;2024

5. Iris Recognition Method for Non-cooperative Images;Lecture Notes in Networks and Systems;2024