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Designs
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Smart Home Design
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Smart Home Design

A special issue of Designs (ISSN 2411-9660).

Deadline for manuscript submissions: closed (10 December 2022) | Viewed by 27342

Special Issue Editors

Dr. Saher Javaid

E-Mail Website
Guest Editor
School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan
Interests: smart home; home energy management system (HEMS); distributed energy resources; power flow control; power system stability and control; power flow coloring; demand response; energy on demand
Special Issues, Collections and Topics in MDPI journals
Dr. Yuto Lim

E-Mail Website
Guest Editor
School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan
Interests: predictive control; network coding; evolutionary multi-objective optimization; game theory; smart energy distribution; smart homes; wireless communications; cyber-physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A smart home is a place that is equipped with information technology and computing; it can accept as well as respond to the resident's requests. The main purpose is to provide the resident with a comfortable, convenient, safe, and joyful life through the managing of various technologies at home. A smart home system supports the control of several different systems in a household (e.g., heating, air conditioning, security, lighting, and audio/video systems) and is labeled with the term smart homes. As more and more home appliances and consumer electronics are deployed, the power consumption in the home area (i) tends to increase and (ii) leads to an increase in the risk of a power blackout. As a result, an intelligent smart home energy management system is needed for smart homes, which is responsible for observing and handling the working operations of home appliances. This Special Issue on smart homes focuses on bringing original research and literature reviews from different areas related to system design, analysis, operation, simulation, and control of power. Manuscript submissions in the areas mentioned as keywords below are highly encouraged.

Dr. Saher Javaid
Prof. Dr. Yuto Lim
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. Designs 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 1600 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

  • Home Networks
  • Home Energy Management System (HEMS)
  • Modeling, Simulation, and Optimization
  • Power Control
  • Energy Efficiency
  • Energy Storage
  • Distributed Energy Resources
  • Information Appliances

Related Special Issue

Published Papers (5 papers)

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Research

11 pages, 4409 KiB  
Article
Support Vector Machine Binary Classifiers of Home Presence Using Active Power
by José Varela-Aldás, Renato Mauricio Toasa and Paul Francisco Baldeon Egas
Designs 2022, 6(6), 108; https://doi.org/10.3390/designs6060108 - 01 Nov 2022
Cited by 3 | Viewed by 1724
Abstract
The intelligent analysis of electrical parameters has been facilitated by the Internet of Things (IoT), with capabilities to access a lot of data with customized sampling times. On the contrary, binary classifiers using support vector machines (SVM) resolve nonlinear cases through kernel functions. [...] Read more.
The intelligent analysis of electrical parameters has been facilitated by the Internet of Things (IoT), with capabilities to access a lot of data with customized sampling times. On the contrary, binary classifiers using support vector machines (SVM) resolve nonlinear cases through kernel functions. This work presents two binary classifiers of presence in the home using total household active power data obtained from the automated reading of an IoT device. The classifiers consisted of SVM using kernel functions, a linear function, and a nonlinear function. The data was acquired with the Emporia Gen 2 Vue energy monitor for 20 days without interruption, obtaining averaged readings every 15 min. Of these data, 75% was for training the classifiers, and the rest of the data was for validation. Contrary to expectations, the evaluation yielded accuracies of 91.67% for the nonlinear SVM and 92.71% for the linear SVM, concluding that there was similar performance. Full article
(This article belongs to the Special Issue Smart Home Design)
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21 pages, 1249 KiB  
Article
Study of Energy Loss for Distributed Power-Flow Assignment in a Smart Home Environment
by Ruengwit Khwanrit, Yuto Lim, Saher Javaid, Somsak Kittipiyakul and Yasuo Tan
Designs 2022, 6(6), 99; https://doi.org/10.3390/designs6060099 - 24 Oct 2022
Cited by 4 | Viewed by 1494
Abstract
Today, renewable energy resources are a critical component of distributed energy systems. However, their intermittent nature makes them unstable energy sources, making them very difficult to use optimally in any energy system. Battery storage is a viable solution for this issue. In this [...] Read more.
Today, renewable energy resources are a critical component of distributed energy systems. However, their intermittent nature makes them unstable energy sources, making them very difficult to use optimally in any energy system. Battery storage is a viable solution for this issue. In this paper, we consider distributed power-flow assignment consisting of unstable power generators, unpredictable power loads, and multiple energy storage systems (ESSs), with different combinations of logical power connections between them. We propose power-flow assignment (PFA) algorithms to deal with single and multiple loads to address the possibility of reducing energy loss and improving distributed power-flow assignment with the presence of ESSs in a smart home environment. Simulation results reveal that the increment of logical power connections between generators, loads, and storage systems can significantly reduce energy loss. The proposed PFA algorithms can reduce energy loss by about 67% compared to a power-flow assignment for which all the generated power is stored in an ESS directly during winter. The results further show that spring has the highest energy loss and stored energy in ESS compared to other seasons. Full article
(This article belongs to the Special Issue Smart Home Design)
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18 pages, 3529 KiB  
Article
Research on Indoor Spatial Behavior Perception IoT Smart System for Solitary Elderly at Home
by Chor-Kheng Lim
Designs 2022, 6(5), 75; https://doi.org/10.3390/designs6050075 - 28 Aug 2022
Cited by 1 | Viewed by 2092
Abstract
This research aims at contributing to a seamless, integrated technology intelligent living system for solitary older adults at home. The capacitive intimate sensing module, that can be easily pasted to the existing home space element surfaces, daily objects, or home furniture, such as [...] Read more.
This research aims at contributing to a seamless, integrated technology intelligent living system for solitary older adults at home. The capacitive intimate sensing module, that can be easily pasted to the existing home space element surfaces, daily objects, or home furniture, such as a wall, door, stairs, a chair, cabinet, table, sofa, etc, is developed in this research. This 30 × 30 cm sensing module can actively sense people’s physical behaviors and body movements in spaces. The signals acquired from the sensing modules in indoor spaces will then integrate into the controller system through the IoT application and logically define the behavior classification. From the preliminary analysis of observing the 80-year-old elderly subject’s daily activities, the movement trajectory of the ‘Move–Stop’ pattern is found. There will be a touch (T) and a touchless (TL) relationship between the body and the space elements or objects. The touchless or non-contact intimate relationship also can be divided into two types: 1. the body ‘Passes by’ (P) the spatial elements or objects, and 2. the body ‘Stays’ (S) in front of the object and performs activities. This research pasted eight sensing modules on nine objects in six spaces. Finally, the specific actions and life pattern can be recognized and analyzed through the developed IoT spatial behavior smart system and provide the customized intelligent application function for the elderly. Full article
(This article belongs to the Special Issue Smart Home Design)
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18 pages, 7001 KiB  
Article
Cost-Effective Design of IoT-Based Smart Household Distribution System
by Musse Mohamud Ahmed, Md Ohirul Qays, Ahmed Abu-Siada, S. M. Muyeen and Md Liton Hossain
Designs 2021, 5(3), 55; https://doi.org/10.3390/designs5030055 - 24 Aug 2021
Cited by 20 | Viewed by 7044
Abstract
The Internet of Things (IoT) plays an indispensable role in present-day household electricity management. Nevertheless, practical development of cost-effective intelligent condition monitoring, protection, and control techniques for household distribution systems is still a challenging task. This paper is taking one step forward into [...] Read more.
The Internet of Things (IoT) plays an indispensable role in present-day household electricity management. Nevertheless, practical development of cost-effective intelligent condition monitoring, protection, and control techniques for household distribution systems is still a challenging task. This paper is taking one step forward into a practical implementation of such techniques by developing an IoT Smart Household Distribution Board (ISHDB) to monitor and control various household smart appliances. The main function of the developed ISHDB is collecting and storing voltage, current, and power data and presenting them in a user-friendly way. The performance of the developed system is investigated under various residential electrical loads of different energy consumption profiles. In this regard, an Arduino-based working prototype is employed to gather the collected data into the ThingSpeak cloud through a Wi-Fi medium. Blynk mobile application is also implemented to facilitate real-time monitoring by individual consumers. Microprocessor technology is adopted to automate the process, and reduce hardware size and cost. Experimental results show that the developed system can be used effectively for real-time home energy management. It can also be used to detect any abnormal performance of the electrical appliances in real-time through monitoring their individual current and voltage waveforms. A comparison of the developed system and other existing techniques reveals the superiority of the proposed method in terms of the implementation cost and execution time. Full article
(This article belongs to the Special Issue Smart Home Design)
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22 pages, 6355 KiB  
Article
Smart Monitoring and Controlling of Appliances Using LoRa Based IoT System
by Nur-A-Alam, Mominul Ahsan, Md. Abdul Based, Julfikar Haider and Eduardo M. G. Rodrigues
Designs 2021, 5(1), 17; https://doi.org/10.3390/designs5010017 - 09 Mar 2021
Cited by 45 | Viewed by 13719
Abstract
In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using [...] Read more.
In the era of Industry 4.0, remote monitoring and controlling appliance/equipment at home, institute, or industry from a long distance with low power consumption remains challenging. At present, some smart phones are being actively used to control appliances at home or institute using Internet of Things (IoT) systems. This paper presents a novel smart automation system using long range (LoRa) technology. The proposed LoRa based system consists of wireless communication system and different types of sensors, operated by a smart phone application and powered by a low-power battery, with an operating range of 3–12 km distance. The system established a connection between an android phone and a microprocessor (ESP32) through Wi-Fi at the sender end. The ESP32 module was connected to a LoRa module. At the receiver end, an ESP32 module and LoRa module without Wi-Fi was employed. Wide Area Network (WAN) communication protocol was used on the LoRa module to provide switching functionality of the targeted area. The performance of the system was evaluated by three real-life case studies through measuring environmental temperature and humidity, detecting fire, and controlling the switching functionality of appliances. Obtaining correct environmental data, fire detection with 90% accuracy, and switching functionality with 92.33% accuracy at a distance up to 12 km demonstrated the high performance of the system. The proposed smart system with modular design proved to be highly effective in controlling and monitoring home appliances from a longer distance with relatively lower power consumption. Full article
(This article belongs to the Special Issue Smart Home Design)
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