Smart home: Highly-educated students' acceptance

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

This contribution proposes an implementation for next generation smart homes, where heterogeneous data, coming from multiple sensors (medical, wellbeing, energy, contextual, etc.) and house equipment (smart fridge, smart TV, etc.), need to be managed, secured and visualized. As a first step, it focuses only on energy and health data. However, it aims to lay the foundations to manage any type of information towards the development of smart interactions with the house, which might include artificial intelligence and machine learning. These data are securely collected using a central Web of Things gateway, located inside the smart home. For the e-health part, a set of possible use-cases is provided, along with the current progress of the implantation. In this regard, the main idea is to link the next generation smart homes with external medical entities in order to provide, first, quick intervention in the event of an abnormality being detected, and to be able to provide basic medical services such as remote consultations with a doctor for a particular health issue. This vision can be very promising, particularly in rural areas, where access to medical services is difficult. As for the energy part, the aim is to collect users' energy consumption inside the smart home, which can be supplied from different sources (heat, water, gas, or electricity), and to enable the use of advanced algorithms to predict and manage local energy consumption and production (if any). This approach combines data collected from smart meters, operational information of the smart energy devices (the status of smart plugs), user's requests and external network signals such as energy prices. By using a home energy management system that accepts such input parameters, the operation of in-home devices and appliances can be optimally controlled according to different objectives (e.g., minimizing energy costs and maximizing user's comfort level).

Integrated Management of Energy, Wellbeing and Health in the Next Generation of Smart Homes

The recent increase in electricity tariff and the introduction of feed-in tariff from renewable resources have increased the interest of energy consumers, such as those in commercial and residential buildings, in reducing their energy usage This paper proposes a smart power socket and central control system that utilizes the Zigbee communication protocol to control energy usage The system is designed such that smart sockets wirelessly provide the necessary data to a central controller Then, the system analyzes the data to generate control commands to turn the devices attached to the smart socket ON or OFF Experimental results show that the proposed smart socket can correctly read the power consumption of wirelessly connected devices from up to 18 m away without loss of data The central controller can effectively control multiple sockets on the basis of a scheduled user program code A 24-min implementation of the proposed energy management algorithm shows a reduction of 0811 kWmin (00134 kWh) in energy usage after the use of the smart sockets as load controllers Thus, the proposed smart socket system can be fully utilized in a home energy management system with a proper scheduling algorithm

Improved Smart Power Socket for Monitoring and Controlling Electrical Home Appliances

In this paper Wireless Sensor Home Area Network (WSHAN) with ZigBee interfaced smart meter is designed and implemented Because of the increasing demands on electricity, traditional electric grid needs to be replaced with intelligent, robust, reliable and costly effective smart grid applications Wireless Sensor Networks (WSN) has a critical role to set up a reliable and costly effective smart electric power grid applications Our system measures energy usage, logs data real time and shows time of use (TOU) values The system also controls any device connected to power outputs While powering on and off, zero-cross of AC signal is detected to calculate phase shift The smart meter provides correct power usage and transmits data with ZigBee to PC (Personal Computer) The user monitors the power information and remotely controls the system

A smart meter design and implementation using ZigBee based Wireless Sensor Network in Smart Grid

Design and Implementation of Standby Power Saving Smart Socket with Wireless Sensor Network

A novel minimum cost maximum power algorithm for future smart home energy management.

This paper presents fuzzy controller for voltage-frequency control scheme for microgrid in islanding operation. The proposed scheme of fuzzy based voltage-power/frequencyre-active power (VP/FQ) sets the real power output to regulate the microgrid voltage and the reactive power output to regulate the frequency. This supervisory control scheme allows the voltage source converter(VSC) with standard inductor interface and dq-frame current control in islanding mode in the instantaneous synchronization operation. The results demonstrate that the proposed approach perfume well and has a significance for the control of inverters in microgrid.

Control of converter fed microgrid using fuzzy controller

A Practical Investigation on Conservation Voltage Reduction for its Efficiency with Electric Home Appliances

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A. Singaravelan

Papers

Design and Implementation of Standby Power Saving Smart Socket with Wireless Sensor Network

A novel minimum cost maximum power algorithm for future smart home energy management.

Control of converter fed microgrid using fuzzy controller

A Practical Investigation on Conservation Voltage Reduction for its Efficiency with Electric Home Appliances

Operating Room Usage Time Estimation with Machine Learning Models