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Electronics
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Systems and Technologies for Smart Homes and Smart Grids
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Systems and Technologies for Smart Homes and Smart Grids

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 4603

Special Issue Editors

Prof. Dr. Amedeo Andreotti

E-Mail Website
Guest Editor
Department of Electrical Engineering and Information Technologies (DIETI), University of Naples Federico II, 80125 Napoli, Italy
Interests: lightning effects on power systems; electromagnetic compatibility; power quality; smart grids; transients in power systems
Dr. Bianca Caiazzo

E-Mail Website
Guest Editor
Department of Electrical Engineering and Information Technologies (DIETI), University of Naples Federico II, 80125 Napoli, Italy
Interests: model and control of power systems; voltage and frequency control in microgrids; control of multi-agent systems (MASs) in the presence of communication impairments

Special Issue Information

Dear Colleagues,

The wide spread of Information and Communication Technologies (ICTs) solutions, smart meters, low-cost smart sensors, and load devices is gaining momentum in modern Smart Grids, as well as their integration in home environments contributing to higher quality and simpler users’ lives. “Smart Home” refers to homes where physical and digital devices are interconnected in the cyber-space and are able to share information, thus forming a network that can assist users via remote home control, home automation systems, and ambient intelligence. Therefore, users’ comfort is the resulting primary goal in this framework. To reach the latter, an intelligent home environment has to ensure i) automation, by performing automatic functions; ii) multi-functionality, by generating different outcomes; iii) adaptability, by learning, predicting, and fitting users’ needs; iv) interactivity, by guaranteeing interaction among users and devices; and v) efficiency, by performing all the tasks with a good trade-off in between quality and costs. Moreover, Internet of Things (IoT) and ICTs are recognized as the potential key tools to promote energy usage reduction in the residential sector in a Smart Grids fashion. This new paradigm allows us to reduce the cost of users’ electricity bills and save energy with continuous prices and supply‒demand balance updates, load-shifting programs, and more efficient appliances.

This Special Issue of Electronics aims to present state-of-the-art papers in the domain of systems and technologies enabling Smart Home and Smart Grids concepts. We invite researchers to contribute innovative and original research papers or insightful review papers. Topics include, but are not limited to, the following areas:

  • Home Automation Network;
  • Integrated Wireless Technology (IWT);
  • Home Energy Management System (HEMS);
  • Smart Home Micro-Computer (SHMC);
  • Home Automation (HA);
  • Renewable Energy Sources (RESs) integration in Smart Grids;
  • Demand‒Response approach;
  • Systems and technologies enabling Smart Home and Smart Grids.

Prof. Dr. Amedeo Andreotti
Dr. Bianca Caiazzo
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. Electronics 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 2400 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.

Keywords

  • smart home
  • smart grid
  • energy management system (EMS)
  • integrated wireless technology (IWT)
  • smart home micro-computers (SHMC)
  • home automation (HA)
  • renewable energy management
  • energy saving
  • energy efficiency
  • smart technologies

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Published Papers (3 papers)

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Research

34 pages, 6772 KiB  
Article
Generation Z Satisfaction with Smart Homestays: ASCI and Web Crawler Insights from China
by Xiaoyu Wang, Junping Xu and Younghwan Pan
Electronics 2024, 13(20), 4003; https://doi.org/10.3390/electronics13204003 - 11 Oct 2024
Viewed by 635
Abstract
In the digital context, smart homestays have developed rapidly in the post-epidemic era and have become a new form of accommodation. Homestays are favored by many young people in China, such as those belonging to Generation Z. According to data concerning China’s national [...] Read more.
In the digital context, smart homestays have developed rapidly in the post-epidemic era and have become a new form of accommodation. Homestays are favored by many young people in China, such as those belonging to Generation Z. According to data concerning China’s national tourism and related reports, the demand for homestays has increased dramatically in recent years. Thus, we need to consider how to improve the smart homestay user experience. Based on the American Customer Satisfaction Index (ACSI) model, this study explores the factors that affect the user experience of smart homestays. An online survey of 370 respondents of Generation Z in China was conducted, followed by descriptive statistical analysis and hypothesis model validation using SPSS 26.0. The data show that among the five service variables (reservation, check-in, living, check-out, and information sharing), perceived value has a positive and positive impact on service variables in all aspects. Finally, machine learning is used for emotion text analysis, and the results show that users are biased towards smart homestays in the sentiment analysis of the comments. Although smart homestays have a certain amount of attention, there is still a lot of room for progress in technology and services. The purpose of this study is to improve and perfect the rules for making smart homestay service standards based on understanding the satisfaction of Generation Z when using smart homestays while also providing a theoretical basis and practical manuals for the industry to promote the development of the industry and improve user experience. Based on the research results of the above literature, it is imperative to carry out research on Generation Z, the main force of future consumption, especially in the field of artificial intelligence. Full article
(This article belongs to the Special Issue Systems and Technologies for Smart Homes and Smart Grids)
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20 pages, 11011 KiB  
Article
Design and Implementation of Single-Phase Grid-Connected Low-Voltage Battery Inverter for Residential Applications
by Akekachai Pannawan, Tanakorn Kaewchum, Chayakarn Saeseiw, Piyadanai Pachanapan, Marko Hinkkanen and Sakda Somkun
Electronics 2024, 13(6), 1014; https://doi.org/10.3390/electronics13061014 - 7 Mar 2024
Cited by 2 | Viewed by 2135
Abstract
Integrating residential energy storage and solar photovoltaic power generation into low-voltage distribution networks is a pathway to energy self-sufficiency. This paper elaborates on designing and implementing a 3 kW single-phase grid-connected battery inverter to integrate a 51.2-V lithium iron phosphate battery pack with [...] Read more.
Integrating residential energy storage and solar photovoltaic power generation into low-voltage distribution networks is a pathway to energy self-sufficiency. This paper elaborates on designing and implementing a 3 kW single-phase grid-connected battery inverter to integrate a 51.2-V lithium iron phosphate battery pack with a 220 V 50 Hz grid. The prototyped inverter consists of an LCL-filtered voltage source converter (VSC) and a dual active bridge (DAB) DC-DC converter, both operated at a switching frequency of 20 kHz. The VSC adopted a fast DC bus voltage control strategy with a unified current harmonic mitigation. Meanwhile, the DAB DC-DC converter employed a proportional-integral regulator to control the average battery current with a dynamic DC offset mitigation of the medium-frequency transformer’s currents embedded in the single-phase shift modulation scheme. The control schemes of the two converters were implemented on a 32-bit TMS320F280049C microcontroller in the same interrupt service routine. This work presents a synchronization technique between the switching signal generation of the two converters and the sampling of analog signals for the control system. The prototyped inverter had an efficiency better than 90% and a total harmonic distortion in the grid current smaller than 1.5% at the battery power of ±1.5 kW. Full article
(This article belongs to the Special Issue Systems and Technologies for Smart Homes and Smart Grids)
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23 pages, 8334 KiB  
Article
Implementation of a Prediction Model in a Smart System for Enhancing Comfort in Dwellings
by Snezhinka Zaharieva, Ivan Georgiev, Slavi Georgiev, Iordan Stoev and Adriana Borodzhieva
Electronics 2023, 12(24), 4899; https://doi.org/10.3390/electronics12244899 - 5 Dec 2023
Viewed by 1315
Abstract
This article introduces a novel approach to ensuring optimal comfort in residential environments, using a smart system powered by predictive modeling. At its core lies a complex algorithm, presented alongside a detailed block diagram, guiding the system’s operations, which are tailored for residential [...] Read more.
This article introduces a novel approach to ensuring optimal comfort in residential environments, using a smart system powered by predictive modeling. At its core lies a complex algorithm, presented alongside a detailed block diagram, guiding the system’s operations, which are tailored for residential comfort. The primary focus is on the time series analysis of forecasting relative humidity—a critical parameter influencing comfort in living spaces. Among the various prediction models analyzed, a model based on the Fourier equation emerged as the most efficient, accounting for approximately 81% of variances in data. Upon validation, the model showcases an impressive relative error of just ±0.1%. The research underscores the potential of leveraging advanced forecasting in optimizing devices like dehumidifiers or air humidifiers, ensuring the desired comfort while minimizing energy consumption. This innovative integration paves the way for a smarter, more sustainable residential living experience. Full article
(This article belongs to the Special Issue Systems and Technologies for Smart Homes and Smart Grids)
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