Intelligent power management device with middleware based living pattern learning for power reduction

Lee, Minsoo; Uhm, Yoonsik; Kim, Yong; Kim, Gwanyeon; Park, Sehyun

doi:10.1109/tce.2009.5373772

Cited by 37 publications

(18 citation statements)

References 10 publications

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“…After analyzing all the references previously mentioned, it can be stated that the enhancements performed over power outlets have been mainly focused on the ability to control them remotely, by using wired [6,9,[11][12][13]15], wireless [4,7,8,10,14,[16][17][18][19][20][21][22], or hybrid interfaces [5]. Most of the wireless power outlets only carry out point-to-point communications (e.g., [4,5,7,16,17]), using technologies like Bluetooth [4,5,7,17], GSM [4,5,7,18], or WiFi [16].…”

Section: Discussionmentioning

confidence: 99%

An Intelligent Power Outlet System for the Smart Home of the Internet of Things

Fernández‐Caramés

2015

International Journal of Distributed Sensor Networks

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This paper presents an intelligent power outlet system that can be controlled wirelessly and that has been specifically designed to monitor electrical events in low-current loads. Each power outlet of the system embeds a microcontroller, a 2.4 GHz ZigBee interface, RFID (Radio Frequency Identification) reader, a relay, and a current sensor. The main features of the system include the remote control of the power outlet, real-time monitoring of the current consumption, the customization and programming of the power supply time schedule, the automatic interruption of vampire currents, and the prevention of certain types of electrical fires and electrocutions. A prototype with such features has been implemented and tested in a simple home automation network in order to validate its functionalities. The results show that the system reacts fast and avoids overconsumptions and electrocutions, being able to make the next generation of homes safer and smarter.

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Section: Discussionmentioning

confidence: 99%

An Intelligent Power Outlet System for the Smart Home of the Internet of Things

Fernández‐Caramés

2015

International Journal of Distributed Sensor Networks

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“…Therefore the energy cost is saved in this method using ZigBee. Power management system with middleware [12], this system executes the power management based on detection of user location and the movement of the human in the home. Here we use the Passive Infrared sensor, light sensor, power meter, microprocessor, PLC module and the LED display.…”

Section: Related Workmentioning

confidence: 99%

Power Saving System Using Sensor over IoT

Sri¹,

Sneha²,

Srikanth³

2018

IJCERT

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Abstract:-The objective of this paper is to save electric power to detect human using a PIR sensor. We often leave the place without switching off lights, fans and Air Conditioner etc. Therefore electricity is getting wasted. Here we have done a power saving in which electricity cost will be saved by sensing the movement of people entering or by leaving out the room. If the sensor identifies that there are no persons present inside the room, then electrical appliances will be turned OFF automatically. If any person enters the room, automatically devices will be turned ON. Here we are separately controlling every electrical appliance by specifying the area. We can also vary the speed of the fan by sensing the room temperature. If the temperature is more the speed of the fan will even more. If there is no user in the room, it switches off the lights, fans, or AC with the help of interface which is in between the switchboard of appliances and PIR sensor. DC relay is also used for the turn ON and turn OFF of the electrical devices according to the output which is in the PIC controller circuit. How many appliances are turned on can also be checked through online? If anyone wants to see who are present inside the room can also be seen with their images on the cloud.

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“…The same authors present in [14] a similar system that controls remotely an Uninterruptible Power System (UPS). As in [13,14], PLC interfaces are embedded into the designs proposed in [15,16]. Another power outlet system based on PLC is presented in [17]: it can control the state of the outlets, and it is able to issue warnings about possible power overloads.…”

Section: Related Workmentioning

confidence: 99%

An Electricity Price-Aware Open-Source Smart Socket for the Internet of Energy

Blanco-Novoa

Fernández‐Caramés

Fraga‐Lamas

et al. 2017

Sensors

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The Internet of Energy (IoE) represents a novel paradigm where electrical power systems work cooperatively with smart devices to increase the visibility of energy consumption and create safer, cleaner and sustainable energy systems. The implementation of IoE services involves the use of multiple components, like embedded systems, power electronics or sensors, which are an essential part of the infrastructure dedicated to the generation and distribution energy and the one required by the final consumer. This article focuses on the latter and presents a smart socket system that collects the information about energy price and makes use of sensors and actuators to optimize home energy consumption according to the user preferences. Specifically, this article provides three main novel contributions. First, what to our knowledge is the first hardware prototype that manages in a practical real-world scenario the price values obtained from a public electricity operator is presented. The second contribution is related to the definition of a novel wireless sensor network communications protocol based on Wi-Fi that allows for creating an easy-to-deploy smart plug system that self-organizes and auto-configures to collect the sensed data, minimizing user intervention. Third, it is provided a thorough description of the design of one of the few open-source smart plug systems, including its communications architecture, the protocols implemented, the main sensing and actuation components and the most relevant pieces of the software. Moreover, with the aim of illustrating the capabilities of the smart plug system, the results of different experiments performed are shown. Such experiments evaluate in real-world scenarios the system’s ease of use, its communications range and its performance when using HTTPS. Finally, the economic savings are estimated for different appliances, concluding that, in the practical situation proposed, the smart plug system allows certain energy-demanding appliances to save almost €70 per year.

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Intelligent power management device with middleware based living pattern learning for power reduction

Cited by 37 publications

References 10 publications

An Intelligent Power Outlet System for the Smart Home of the Internet of Things

An Intelligent Power Outlet System for the Smart Home of the Internet of Things

Power Saving System Using Sensor over IoT

An Electricity Price-Aware Open-Source Smart Socket for the Internet of Energy

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