IoT Based Energy Management for Smart Home

Ramani, U.; kumar, S.Sathiesh; Santhoshkumar, T.; Thilagaraj, M.

doi:10.1109/icpedc47771.2019.9036546

Cited by 31 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An evaluation study conducted by Ramani showed that there are major drawbacks with the existing electricity billing system due the manual work required, as well as limitations in automated switching between parallel energy systems [8]. Thus, they proposed a system with the purpose to minimize electrical billing error and reduction of both paperwork and human dependency in the system.…”

Section: Simulation Tools and Web App For Campusmentioning

confidence: 99%

Optimized Smart Energy Management System for Campus Buildings: A Conceptual Model

Shalaby

Sidhu

Tan

et al. 2023

ijaste

View full text Add to dashboard Cite

Given the upcoming post-pandemic times, there are more universities considering adopting the hybridization model. As such, not all the facilities and building utilities will be fully utilized as only half of the student population will be expected, thus wasting the campus’s energy consumption. Therefore, an intelligent management system can be implemented into smart campuses to reduce the overall electrical bills to adapt to the hybrid education model. The research will be then conducted on existing prior work which will be over-viewed in this paper in the area of intelligent buildings and energy optimization. It was found that many of the energy optimization models utilized an IoT application highly specific to the designed IoT system only. This inspired us with the aid of Particle Swarm Optimization (PSO) and LTMS AI model to design a fully automatic system capable of reducing the consumed power in campus with monitoring the past readings that can be accessed through a web app dashboard.

show abstract

Section: Simulation Tools and Web App For Campusmentioning

confidence: 99%

Optimized Smart Energy Management System for Campus Buildings: A Conceptual Model

Shalaby

Sidhu

Tan

et al. 2023

ijaste

View full text Add to dashboard Cite

show abstract

“…4) Systems that although being technologically advanced, aren't user-friendly or accessible for an average user. Such systems, despite their potential, have limited real-world application due to the steep learning curve they present [12].…”

Section: A Issues In Existing Workmentioning

confidence: 99%

“…Several prototypes and devices have been developed to monitor and control energy consumption in households using IoT technology. Ramani et al [12] propose a prototype that combines IoT with solar energy monitoring and household energy consumption control using an Arduino and an ESP8266. The aim of the prototype is to improve energy efficiency by controlling the use of generated and consumed energy in parallel.…”

Section: Related Workmentioning

confidence: 99%

A Low-Cost Wireless Sensor System for Power Quality Management in Single-Phase Domestic Networks

2023

IJACSA

View full text Add to dashboard Cite

This article presents a novel low-cost hardware and software tool for monitoring power quality in single-phase domestic networks using an ESP32 microcontroller. The proposed embedded system allows remote evaluation and monitoring of electrical energy consumption behavior through non-invasive current measurement parameters. Based on these measurements, power, power factor, total harmonic distortion, and energy consumption are calculated. The collected data is then published and visualized on a free and open IoT application in the cloud. The tool was designed to be both cost-effective and high-quality. During laboratory testing, the equipment demonstrated a high level of precision, as compared to a network analyzer. Additionally, the design utilized the smallest number of components possible, while still maintaining quality performance. The ESP32 microcontroller enables wireless data transmission, making remote monitoring and management of energy consumption more accessible and efficient. Moreover, the non-invasive measurement method makes the tool safer and more user-friendly, as it does not require any interruption of power supply. The proposed tool can help identify and address power quality issues that arise in domestic networks, which can have a significant impact on energy consumption and costs. The IoT application enables users to access their power consumption data remotely, facilitating better energy management and reducing wastage.

show abstract

“…So the variables that were continuously tracked were temperature, air pressure, humidity, light intensity, and dew point. Only temperature and humidity are measured for weather forecasting in [10][11][12][13][14]. An environmental monitoring system that records information on temperature, humidity, and precipitation has been introduced [15].…”

Section: Related Workmentioning

confidence: 99%

Quad-band GSM/GPRS Enabled Low-Power Sensor Node Design For Outdoor IoT Applications

Maduranga¹

2022

Preprint

View full text Add to dashboard Cite

<p>People have become increasingly aware of the environment in which they live in recent years. This awareness has prompted the development of a reliable environmental monitoring system. This paper presents an energy-efficient and low-power sensor node that could be used for outdoor Internet of Things (IoT) applications to monitor real-time environment conditions such as humidity and temperature remotely. The proposed sensor node could directly connect with a cellular base station over GSM/GPRS quad-bands 850MHz,900MHz,1800MHz, and 1900MHz without needing any Access Point(AP) in the network. The sensor node consists of a central controller based on Atmega328, a communication module on SIM800, DHT22 temperature, and a humidity sensor with a solar-powered charging system. The system is specially designed for robust IoT outdoor applications such as environment monitoring in wilds, large-scale farms, forests, etc. For optimal usage of the power of the battery, an energy-saving mechanism is proposed based on deep sleep scheduling, thus considerably reducing the power consumption and prolonging the up-time of the sensor node. </p>

show abstract

IoT Based Energy Management for Smart Home

Cited by 31 publications

References 2 publications

Optimized Smart Energy Management System for Campus Buildings: A Conceptual Model

Optimized Smart Energy Management System for Campus Buildings: A Conceptual Model

A Low-Cost Wireless Sensor System for Power Quality Management in Single-Phase Domestic Networks

Quad-band GSM/GPRS Enabled Low-Power Sensor Node Design For Outdoor IoT Applications

Contact Info

Product

Resources

About