scholarly journals Global Energy Production Computation of a Solar-Powered Smart Home Automation System Using Reliability-Oriented Metrics

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2541
Author(s):  
Raul Rotar ◽  
Sorin Liviu Jurj ◽  
Robert Susany ◽  
Flavius Opritoiu ◽  
Mircea Vladutiu
Keyword(s):  
Power Generation ◽  
Smart Home ◽  
Energy Production ◽  
Performance Ratio ◽  
Automation System ◽  
Home Automation ◽  
Tracking Systems ◽  
Global Energy ◽  
Solar Tracking ◽  
Home Automation System

This paper presents a modified global energy production computation formula that replaces the traditional Performance Ratio (PR) with a novel Solar Reliability Factor (SRF) for mobile solar tracking systems. The SRF parameter describes the reliability and availability of a dual-axis solar tracker, which powers a smart home automation system entirely by using clean energy. By applying the SRF in the global energy production formula of solar tracking systems, we can predict the energy generation in real time, allowing proper energy management of the entire smart home automation system. Regarding static deployed Photovoltaic (PV) systems, the PR factor is preserved to compute the power generation of these devices accurately. Experimental results show that the energy production computation constantly fluctuates over several days due to the SRF parameter variation, showing a 26.11% reduction when the dual-axis solar tracker’s availability is affected by system errors and maximum power generation when the solar tracking device is operating in optimal conditions.

scholarly journals Planning of Energy Production and Management of Energy Resources in Local Energy Communities: The Case of Berchidda Municipality (Italy)

Proceedings ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 16
Author(s):  
Giordano ◽  
Ghiani ◽  
Pilo ◽  
Rosetti
Keyword(s):  
Demand Response ◽  
Smart Home ◽  
Energy Production ◽  
Energy Resources ◽  
Automation System ◽  
Home Automation ◽  
Local Energy ◽  
Active Involvement ◽  
Home Automation System ◽  
Energy Community

This paper aims to present the ideas and the strategies behind the project called “Berchidda Energy 4.0” which proposes the development of a smart Local Energy Community in the Municipality of Berchidda (Italy). The project is focused on increasing energy efficiency by fostering renewable generation production and maximizing the self-consumption of the energy produced, as well as increasing the active involvement of the consumers that will be equipped with smart home automation system for demand response applications.

scholarly journals Internet of Things-Based Intelligent Smart Home Control System

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Smart Home ◽  
Human Life ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Automation System ◽  
Home Automation ◽  
Area Of Interest ◽  
Home Automation System

The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

scholarly journals Home Automation with Intruder Detection and Energy Control

2021 ◽  
Vol 9 (VI) ◽  
pp. 3473-3480
Author(s):  
M. Niharika
Keyword(s):  
Light Intensity ◽  
Smart Home ◽  
Security System ◽  
Automation System ◽  
Home Automation ◽  
Energy Control ◽  
Intruder Detection ◽  
Alert Message ◽  
Home Automation System

In previous project we made a home automation system, where we can control our appliances through Blynk app and Google assistant with the help of IFTTT. As an extension we will provide feedback to user whether the appliance is on or off. We will also use sensors like LDR for measuring light intensity in this project to make it smart. We will also include security system where in we have sensors to doors and windows and give buzzer along with an alert message to the user. On a whole we will provide a smart home automation system.

scholarly journals Smart Home Environment Future Challenges and Issues - A Survey

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Sathesh ◽  
Yasir Babiker Hamdan
Keyword(s):  
Energy Management ◽  
Home Environment ◽  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Negative Effects ◽  
Research Article ◽  
Home Energy Management ◽  
Smart Home Environment ◽  
Home Automation System

The smart home automation is that the exploitation internet enabled devices remotely and mechanically management appliances such as lighting, heating system and security measures in and around your home. This papers talks about relative emission effects in Home Energy Management. Also the result outcome is that consumption of the electricity will be reduced towards green environment. Moreover, the research paper is considering the analysis of calculate the negative effects in environment due to full home automation system. While calculating these negative effects, the Life Cycle Assessment (LCA) should be in sum total. This study uses to analysis the electricity consumption for environment impact of Home Energy Management system (HEMs). The research article discusses home automation system consumes the energy for different devices connected for smart home. The maximum energy consumption in smart home network is smart plugs due to an uninterrupted supply. Therefore this research article comprises about home automation energy management that shows the balance energy consumption between the devices in a regular interval. Also this research article provides a future challenge tasks in security issues in smart home environment. Also the perception for smart home environment focuses the Interoperability, Reliability, Integration of smart homes and term privacy in context, term security and privacy vulnerabilities to smart home.

Smart Home automation system using IR, bluetooth, GSM and android

2017 ◽  
Author(s):  
Anuja Shinde ◽  
Shobha Kanade ◽  
Namrata Jugale ◽  
Abhijeet Gurav ◽  
Rambabu A. Vatti ◽  
...  
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System

Smart Home Automation System

2021 ◽  
Author(s):  
Sezai Kaya ◽  
Oguzcan Gorucu ◽  
Pinar Kirci
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System

Domicile - An IoT Based Smart Home Automation System

2019 ◽  
Author(s):  
Md. Sadad Mahamud ◽  
Md. Saniat Rahman Zishan ◽  
Syed Ishmam Ahmad ◽  
Ahmed Rezaur Rahman ◽  
Mehedi Hasan ◽  
...  
Keyword(s):  
Smart Home ◽  
Automation System ◽  
Home Automation ◽  
Home Automation System
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