Electrical energy management for advance smart home systems: Introduction

Nassereddine, Mohamad; Rizk, Jamal; Hellany, A.; Nagrial, M.; Elrafhi, Ahmad; Obeid, Ziad; Hajar, Khaled

doi:10.1109/redec.2016.7577506

Cited by 11 publications

(5 citation statements)

References 4 publications

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“…The design should take into consideration the instantaneous power i P and consumed power C P . The paper used equation 2 [4] to compute the electrical power disbursed by the house electrical appliances:…”

Section: B Solar Panels Sizing and Layoutmentioning

confidence: 99%

“…This can be achieved by using advance energy management system. More information can be found in the author published paper [4].…”

Section: ) Electrical Usage After Sun-setmentioning

confidence: 99%

“…Based on this assessment, the house should have sufficient area to install panels that faces North West. The published works in [4] are used to compute the hourly electrical consumption for the house. It is worth mentioning the following two items as the experimental results supporting the theoretical statement:…”

Section: Case Studymentioning

confidence: 99%

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Stand Alone PV House Design for Maximum Power Output in Sydney Australia Metropolitan Area

et al. 2018

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Abstract-Nowadays, a strong link exists between human comfort and electrical power. Abundant doings are not possible without the support of the electrical energy. Driven by the human obligation to save the environment, the installation of PV solar system increased dramatically in the past numerous years. The installation can be grid connected or standalone system. These micro-grid situations are installed world-wide and currently are contributing to the local electrical network. To maximize the use of the generated solar system, numerous system installed energy storage in the form of batteries. These energy storages harvest the sun power during daylight to support the household electrical demand after sunset. This paper linked the house roof design to the PV solar system for maximum generation condition. Furthermore the paper contains important information on the optimum location for the solar panel to ensure continuous and reliable system is achieved. An actual real case study is presented.

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Section: B Solar Panels Sizing and Layoutmentioning

confidence: 99%

“…This can be achieved by using advance energy management system. More information can be found in the author published paper [4].…”

Section: ) Electrical Usage After Sun-setmentioning

confidence: 99%

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Stand Alone PV House Design for Maximum Power Output in Sydney Australia Metropolitan Area

et al. 2018

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“…Çalışmalar incelendiğinde evlerdeki enerji tüketiminin takibi ve izlenmesi için pek çok farklı yöntemin hayata geçirildiği uygulamaya rastlanılmıştır. Akıllı evler için elektrik yönetim sistemi kavramını tanıtan Nassereddine ve arkadaşları (2016) çalışmalarında, akıllı enerji yönetimi araçlarının kullanımı ile yerleşim yerleri için elektriksel uç taleplerini azaltmanın mümkün olduğunu göstermektedir [4]. Sistem, çalışma saatlerinde kullanılacak fotovoltaik (photovoltaic-PV) sisteminden üretilen enerjinin yüzdesini arttırarak, üretilen enerjilerin kullanımını en üst düzeye çıkartıp, elektrik faturalarını ve çevre üzerindeki etkileri azaltmak için kullanıcıya tam bir kontrol sağlamıştır.…”

Section: Introductionunclassified

Akıllı Evlerdeki Cihazların Enerji Tüketimine Göre Kaynağının Belirlenmesi

Uğurlu

Bayram

2021

Mühendislik Bilimleri Ve Araştırmaları Dergisi

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It is of great importance to diversify electrical energy sources in recent times. In this study, the electrical energy that a house may need is provided by two different sources. The first of these is the city grid and the other is the battery that can be charged with solar energy. Transitions between two energy sources are carried out with the developed system. Thus, the energy costs of the home and / or office user are reduced and at the same time, energy estimates are made for future energy needs depending on the usage habits. Polynomial linear regression and LSTM methods were used for this estimation. Using the RMSE metric, we compared which method predicts with less error rate. For the nonlinear data set, LSTM performed more successfully, while for linear data such as electrical energy, the best estimation result was 0.99 with Polynomial Linear Regression.

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“…The electric energy is indispensable element when it comes to human [1]. Due to limitations and rising cost of energy generation, it is becoming progressively important to direct greater efforts into optimizing electrical energy utilization [2].…”

Section: Introductionmentioning

confidence: 99%

IOT-Based smart street lighting enhances energy conservation

Yusoff

Muhammad

Razi

et al. 2020

IJEECS

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<span>The electricity generation cost is escalating every year while the electric energy is indispensable and increasing in demand. The resources for energy generation is also depleting due to the increasing demand of power. Thus, a system that can reduce the energy wastage and the massive expenses is essential. Street light system is one of the systems that can reduce energy consumption. The massive energy consumption from the current street light system is not efficient enough to reduce the wasted energy. By implementing an IOT-based smart street light system, the power consumption of the street light will be optimized. This system will also provide the ability to monitor input voltage for Arduino MEGA 2560 microcontroller and control the street light through IOT. The concept of this smart system is to introduce an intelligent system which can decide to switch on or off the street light according to the movement detection by using an infrared sensor module. The data will be sent to Arduino Mega 2560, which is a microcontroller that will decide to turn on or off the street light. The Wi-Fi module ESP-01 is implemented to enable the microcontroller to connect to Blynk software for monitoring and controlling purpose. The result shows that the smart street light system is expected to reduce energy consumption up to 45.48% on weekdays and 32.22% on weekends from the present street light system which uses timer system. The IOT-based Smart Street Light system also shows the condition of the street light system based on the Blynk interfaces for maintenance purpose.</span>

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Electrical energy management for advance smart home systems: Introduction

Cited by 11 publications

References 4 publications

Stand Alone PV House Design for Maximum Power Output in Sydney Australia Metropolitan Area

Stand Alone PV House Design for Maximum Power Output in Sydney Australia Metropolitan Area

Akıllı Evlerdeki Cihazların Enerji Tüketimine Göre Kaynağının Belirlenmesi

IOT-Based smart street lighting enhances energy conservation

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