Intelligent Smart Home Energy Efficiency Model Using Artificial Intelligence and Internet of Things

2021 ◽  
pp. 183-210
Author(s):  
Harpreet Kaur ◽  
Simar Preet Singh ◽  
Supreet Bhatnagar ◽  
Arun Solanki
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Internet Of Things ◽  
Smart Home

scholarly journals A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

2020 ◽  
Vol 10 (9) ◽  
pp. 3074 ◽  
Author(s):  
Samad Sepasgozar ◽  
Reyhaneh Karimi ◽  
Leila Farahzadi ◽  
Farimah Moezzi ◽  
Sara Shirowzhan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Home ◽  
Smart Homes ◽  
Research Direction ◽  
The Internet ◽  
Main Question ◽  
Smart Energy Systems ◽  
Assistive Systems ◽  
The Internet Of Things

This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.

scholarly journals Performance Evaluation of Smart Home System using Internet of Things

2018 ◽  
Vol 8 (1) ◽  
pp. 400 ◽  
Author(s):  
Teddy Surya Gunawan ◽  
Intan Rahmithul Husna Yaldi ◽  
Mira Kartiwi ◽  
Hasmah Mansor
Keyword(s):  
Energy Efficiency ◽  
Performance Evaluation ◽  
Control System ◽  
Internet Of Things ◽  
Smart Home ◽  
Environmental Control ◽  
Real Life ◽  
Prototype System ◽  
Software Performance ◽  
Human Intervention

Nowadays, many researches have been conducted on smart home. Smart home control system (SHCS) can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. We have proposed a smart home system using internet of things and four types of sensors, including PIR, temperature, ultrasonic, and smoke gas sensor for automatic environmental control and intrustion detection. In this paper, the performance of the previously developed prototype of smart home system will be evaluated. First, experiments on various sensors will be conducted. Next, the communicaton channel using wireless and Ethernet modules will be discussed. Moreover, the overall SHCS will be evaluated in terms of hardware and software performance. Additionaly, solar charger enhances the availability of our prototype system. Results showed the effectiveness of our proposed smart home system in the prototype and real life experiments.

scholarly journals ForeSight - AI-based Smart Living Platform Approach

2020 ◽  
Vol 6 (3) ◽  
pp. 384-387
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Christoph Konrad ◽  
Martin Holzwarth ◽  
Andreas Mayr ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Home ◽  
Service Providers ◽  
Daily Life ◽  
The Internet ◽  
Context Sensitive ◽  
Smart Living ◽  
Housing Industry ◽  
The Internet Of Things

AbstractIn the upcoming years, the internet of things (IoT) will enrich daily life. The combination of artificial intelligence (AI) and highly interoperable systems will bring contextsensitive multi-domain services to reality. This paper describes a concept for an AI-based smart living platform with open- HAB, a smart home middleware, andWeb of Things (WoT) as key components of our approach. The platform concept considers different stakeholders, i.e. the housing industry, service providers, and tenants. These activities are part of the Fore- Sight project, an AI-driven, context-sensitive smart living platform.

scholarly journals Protptipe Sistem Kontrol Lampu LED Melalui Jaringan Internet Berbasis Arduino

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Anenda Happy Safitra
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Smart Home ◽  
Electronic Devices ◽  
Electronic Equipment ◽  
Controlling System ◽  
Functional Aspects

As technology has developed rapidly nowadays, it arises some impacts. Controlling electronic devices using the smart home application can ease users to control household electronic equipment to reduce el,ectricity wastefulness when the users forget to turn them off. Towards the aim, the author conducted research on the energy efficiency of lamps used in Internet of Things (IoT) technology.The research developed a controlling system (on-off) of 5 arduino-based LED lamps. The website would control the LED lamps which will send data to the server where the server will continue the data to arduino to read the command: ON or OFF. Next, arduino will send the LED’s status to the server to perform the LED status display on the website. Blackbox testing is used to better utilize the functional aspects of the system designed for users’ convenience in controlling LED lamps based on the appearance of the website. Therefore, the system can show that the functions of both hardware and website controlling the LED lamps are running well and can be used by users easily and usefully.

scholarly journals An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 833 ◽  
Author(s):  
Ingook Jang ◽  
Donghun Lee ◽  
Jinchul Choi ◽  
Youngsung Son
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Power Consumption ◽  
Response Time ◽  
Knowledge Sharing ◽  
Smart Home ◽  
Artificial Intelligence Techniques ◽  
Iot Applications ◽  
Iot Devices

The traditional Internet of Things (IoT) paradigm has evolved towards intelligent IoT applications which exploit knowledge produced by IoT devices using artificial intelligence techniques. Knowledge sharing between IoT devices is a challenging issue in this trend. In this paper, we propose a Knowledge of Things (KoT) framework which enables sharing self-taught knowledge between IoT devices which require similar or identical knowledge without help from the cloud. The proposed KoT framework allows an IoT device to effectively produce, cumulate, and share its self-taught knowledge with other devices at the edge in the vicinity. This framework can alleviate behavioral repetition in users and computational redundancy in systems in intelligent IoT applications. To demonstrate the feasibility of the proposed concept, we examine a smart home case study and build a prototype of the KoT framework-based smart home system. Experimental results show that the proposed KoT framework reduces the response time to use intelligent IoT devices from a user’s perspective and the power consumption for compuation from a system’s perspective.

An Internet-of-Things (IoT) System to Automate the Pet Door Controlling using Artificial Intelligence and Computer Vision

2021 ◽  
Author(s):  
Alex Lin ◽  
Yu Sun
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Internet Of Things ◽  
Smart Home ◽  
Living Condition ◽  
Home Systems

Pets are cute and fun, but sometimes it gets annoying when you are trying to get some sleep in [14]. Also the population of people who would like to be accompanied by pets is rising rapidly. However, people these days lack time to meet all requirements of pets, which causes plenty of tragedies [3]. In this paper, we designed an application/tool called Automate the Pet Door Controlling which is using artificial intelligence and Computer vision to create a better living condition for pets, and a easier life for people who love their pets, especially for those who cannot spend a lot of time or physically hard to open doors for pets. My design builds an integratable system which is available for most smart home systems, also this design supports extra datasets imported to enlarge the types of pets.

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