Appliance-Aware Activity Recognition Mechanism for IoT Energy Management System

Cho, Wei-Ting; Lai, Ying-Xun; Lai, Chin‐Feng; Huang, Yueh‐Min

doi:10.1093/comjnl/bxt047

Cited by 26 publications

(8 citation statements)

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“…Methods also exist to encourage occupants or to apply management policy to control systems, drawing on self-reported data about occupant interactions with environment. Cho et al proposed an appliance aware activity recognition mechanism for home, which notify users what unused appliance is or turn them off automatically [9]. Zhun et al analysed the influence of occupant behaviour on building energy consumption and developed a technique for identifying energy-saving potential by changing user behaviour to reduce energy consumption; this is the opposite of the approach described in this paper, in which the building adapts to user behaviour [10].…”

Section: Related Workmentioning

confidence: 99%

Multi-Agent Architecture for Control of Heating and Cooling in a Residential Space

Zupančič¹,

Luštrek

Gams

2014

The Computer Journal

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Energy demand in a smart grid is directly related to energy consumption, as defined by user needs and comfort experience. This article presents a multiagent architecture for smart control of space heating and cooling processes, in an attempt to enable flexible ways of monitoring and adjusting energy supply and demand. In this proposed system, control agents are implemented in order to perform temperature set-point delegation for heating and cooling systems in a building, offering a means to observe and learn from both the environment and the occupant. Operation of the proposed algorithms is compared to traditional algorithms utilised for room heating, using a simulated model of a residential building and real data about user behaviour. The results show (i) the performance of machine learning for the occupancy forecasting problem and for the problem of calculating the time to heat or cool a room; and (ii) the performance of the control algorithms, with respect to energy consumption and occupant comfort. The proposed control agents make it possible to significantly improve an occupant comfort with a relatively small increase in energy consumption, compared to simple control strategies that always maintain predefined temperatures. The findings enable the smart grid to anticipate the energy needs of the building.

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Section: Related Workmentioning

confidence: 99%

Multi-Agent Architecture for Control of Heating and Cooling in a Residential Space

Zupančič¹,

Luštrek

Gams

2014

The Computer Journal

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“…Enerji yönetim sistemleri ile ilgilenen IoT, akıllı otomasyonun yanı sıra akıllı şebekeler ile şebekeyi izleme ve kontrol imkânı sunmaktadır (Cho, et al;. Geleneksel enerji ölçüm sistemlerini Nesnelerin İnterneti teknolojisi ile akıllı hale getirmek akıllı şebeke uygulamalarının en önemli unsurlarındandır (Kim;.…”

Section: 3)enerji Ve Elektrik Endüstrisinde Iotunclassified

Tekno Yöneti̇m Yapisinin Gi̇zi̇lgücü Olan Nesneleri̇n İnterneti̇ne Determi̇ni̇st Bi̇r Yaklaşim

Davutoğlu¹

2021

ASOS

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The Internet of things is a communication network covering device, software and access services that enable us to control and track and analyze physical events around us. These physical events include production processes, energy networks, patient tracking systems, recycling processes, transportation, smart buildings, shopping, etc. areas such as can have measurable magnitudes or control systems. In addition, the devices and sensors in this network are organisms that can establish human-human, human-machine, machine-machine communication. There are many studies on analyzing the big data produced by the devices involved in this organism and ensuring the security of this data. In this study, one of the qualitative research methods, literature review, An Overview of the Internet of things and application areas identified by previous studies were examined and information about the current situation was given.

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“…Fields of use of the IoT technology is increasing steadily today. Internet of Things is being used in agricultural applications [5], smart home and office applications [2,6], biomedical applications [3], health applications (3,7], logistics and vehicle tracking systems [8], energy managements systems [9] and many more fields. Arduino is a micro controller card commonly used many people in IoT applications.…”

Section: Introductionmentioning

confidence: 99%

Iot Temelli̇ Deprem Uyari Si̇stemi̇ Geli̇şti̇ri̇lmesi̇ Ve Değerlendi̇ri̇lmesi̇

Karacı

2018

Mugla Journal of Science and Technology

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In this study a low cost earthquake warning system has been developed that will detect non-destructive foreshocks. The developed system is an IOT application where objects communicate with each other. Arduino mega was used as the micro controller in the system. The purpose of developing earthquake warning system is to announce the information about the beginning and end of the earthquake at the instant of earthquake as a tweet in tweeter and to give audible alert for the persons in the environment. IMU and piezo vibration sensors were used to detect the vibrations at the moment of the earthquake. Also, ESP8266 Wi-Fi module was included in the system for the system to connect to the internet. The system evaluates the data from IMU and vibration sensors to detect the earthquake. For IMU sensor, data is evaluated in two axes; namely x and y. ıf the change in x-or y-axis is equal to or greater than 10 or the data from vibration sensor is greater than 694 then the earthquake warning system is triggered. As a result of this triggering the system connects to internet via Wi-Fi module, a tweet is sent to inform that the earthquake has started and audible alert is given locally. ThingSpeak IoT analytics platform is used for the system top send tweet. When the system is triggered, necessary data is sent to the ThingSpeak platform and tweet is sent through this platform. Also, system's sensitivity threshold values can be changed and adjusted. According to the results of real-time operation, it has been determined that the developed system can detect the earthquake successfully and sensitively and provide audible alert and send tweet for warning.

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Appliance-Aware Activity Recognition Mechanism for IoT Energy Management System

Cited by 26 publications

References 0 publications

Multi-Agent Architecture for Control of Heating and Cooling in a Residential Space

Multi-Agent Architecture for Control of Heating and Cooling in a Residential Space

Tekno Yöneti̇m Yapisinin Gi̇zi̇lgücü Olan Nesneleri̇n İnterneti̇ne Determi̇ni̇st Bi̇r Yaklaşim

Iot Temelli̇ Deprem Uyari Si̇stemi̇ Geli̇şti̇ri̇lmesi̇ Ve Değerlendi̇ri̇lmesi̇

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