sensors-logo

Journal Browser

Journal Browser

Sensors and Devices for Smart Grids and Smart Homes

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 1294

Special Issue Editors

Faculty of Science, University of Turku-Turun Yliopisto, Tuurintie 1 C 24, 20100 Turku, Finland
Interests: smart embedded systems and electronics
Special Issues, Collections and Topics in MDPI journals
Department of Computing, University of Turku, 20500 Turku, Finland
Interests: VLSI; computer security; embedded systems for IoT; low-power design; approximate computing; DC microgrid; blockchain technology
Special Issues, Collections and Topics in MDPI journals
School of Information Science and Technology, Fudan University, Shanghai, China
Interests: edge AI; FPGA; energy efficiency; wireless sensing; IoT; SoC

Special Issue Information

Dear Colleagues,

IoT technology is gaining increased amounts of attention in modern society. It is the founding technology of the fourth industrial revolution. Smart city is a new transformation of the modern city in which every aspect of services that affect citizens are empowered with ICT and machine learning. These services include transportation, energy, waste recycling, water supply, retail, education, healthcare, environment, etc.

Smart grids employ innovative sensing products, services, and technologies, such as intelligent monitoring and control and communication to maintain and improve services. All user behaviors and actions are connected through a sensor-based smart grid. Compared with the traditional power grid, due to the intervention of the sensor network, the smart grid improves work efficiency and brings convenience to users. At the same time, the design, optimization, communication, monitoring, and control of sensors are very important, whereas the security, reliability, and privacy of the sensor networks cannot be ignored either. Therefore, signal processing, algorithms, and data analysis for smart grid sensor networks are key issues for its application.

The metaverse, often identified as the successor of the internet, seamlessly bridges physical and virtual worlds, providing an immersive presence across both spaces. Underlying it is the convergence of extended reality (XR), digital twin, blockchain, artificial intelligence (AI), and communication (e.g., 5G/6G) technologies, which offer numerous benefits for the smart grid and the smart home. This Special Issue welcomes research advances in metaverse architectures, algorithms, protocols, and test-beds for smart homes and smart grids.

Topics for this Special Issue include, but are not limited to:

  • Wireless sensor networks for smart grid;
  • Advanced metering infrastructure and energy management algorithms and infrastructure;
  • Reliability, security, and privacy of sensor communication in smart grid and smart homes;
  • Real-time data processing by smart sensors using advanced machine/deep learning technology;
  • Intelligent devices for management, control, and operation of the smart grid;
  • Integration of electric vehicles and smart-grid;
  • Approximate computing for smart-gird;
  • Vehicle-to-home technologies;
  • Standardization initiatives for smart homes and smart grid;
  • Predictive and near-real-time recognition of human activity in smart homes;
  • Ambient assisted living sensors, devices, and algorithms;
  • Interactive design and novel user interface for smart homes;
  • Blockchain technology for the operation, management, and security of smart grids/smart homes;
  • Predictive maintenance for smart grids;
  • Intelligent sensing and controlling technologies (incl. AR/VR, AI):
    • Energy harvesting and self-powered sensors for the smart home;
    • Mobile/wearable/implanted device intelligence and embodied interaction;
    • Multi-modal sensing, data fusion, and processing;
    • Sensor data fusion and collaboration in multi-sensor systems and networks;
    • Intelligent sensing and controlling technologies;
    • Scene and event modelling, representation, and reconstruction;
    • Learning algorithms for perception, understanding, and adaptation;
    • Wireless sensing, positioning, localization, and tracking (e.g., for environment reconstruction, activity monitoring, etc.).
  • Computation, communication, and interoperability (incl. 6G, AI, blockchain);
    • Self-powered communication devices and systems;
    • Communication interfaces and data formats for appliance integration;
    • Privacy-protecting interoperability and data portability;
    • Integrating sensing, communication, and computing ;
    • Multi-sensory multimedia networks;
    • Multimodal context-aware communication (semantic, goal-aware communication);
    • Next-generation multiple access schemes;
    • Real-time synchronization between physical and virtual domains;
    • Modelling, simulation, and prediction (e.g., for digital twins, etc.);
    • Cloud-to-thing architecture design and orchestration;
    • Efficient offloading and resource allocation methods (e.g., for AR/VR rendering, immersive streaming and interaction, etc.);
    • Efficient consensus protocol design;
    • Privacy-preserving mechanisms for access control, computation, and communication;
    • Cross-chain architecture and governance design. 

Prof. Dr. Hannu Tenhunen
Dr. Imed Ben Dhaou
Dr. Zhuo Zou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 3048 KiB  
Article
A Recommender System for Increasing Energy Efficiency of Solar-Powered Smart Homes
by Quentin Meteier, Mira El Kamali, Leonardo Angelini and Omar Abou Khaled
Sensors 2023, 23(18), 7974; https://doi.org/10.3390/s23187974 - 19 Sep 2023
Viewed by 956
Abstract
Photovoltaic installations can be environmentally beneficial to a greater or lesser extent, depending on the conditions. If the energy produced is not used, it is redirected to the grid, otherwise a battery with a high ecological footprint is needed to store it. To [...] Read more.
Photovoltaic installations can be environmentally beneficial to a greater or lesser extent, depending on the conditions. If the energy produced is not used, it is redirected to the grid, otherwise a battery with a high ecological footprint is needed to store it. To alleviate this problem, an innovative recommender system is proposed for residents of smart homes equipped with battery-free solar panels to optimise the energy produced. Using artificial intelligence, the system is designed to predict the energy produced and consumed for the day ahead using three data sources: sensor logs from the home automation solution, data collected by the solar inverter, and weather data. Based on these predictions, recommendations are then generated and ranked by relevance. Data collected over 76 days were used to train two variants of the system, considering or without considering energy consumption. Recommendations selected by the system over 14 days were randomly picked to be evaluated for relevance, ranking, and diversity by 11 people. The results show that it is difficult to predict residents’ consumption based solely on sensor logs. On average, respondents reported that 74% of the recommendations were relevant, while the values contained in them (i.e., accuracy of times of day and kW energy) were accurate in 66% (variant 1) and 77% of cases (variant 2). Also, the ranking of the recommendations was considered logical in 91% and 88% of cases. Overall, residents of such solar-powered smart homes might be willing to use such a system to optimise the energy produced. However, further research should be conducted to improve the accuracy of the values contained in the recommendations. Full article
(This article belongs to the Special Issue Sensors and Devices for Smart Grids and Smart Homes)
Show Figures

Figure 1

Back to TopTop