scholarly journals IOT Based Smart Energy Monitoring and Billing System

Author(s):  
Sinnarkar Mohini ◽  
Bare Priyadarshani ◽  
Chavan Nikita

Electricity is one of the fundamental necessities of human beings, which is commonly used for domestic, industrial, and agriculture purposes. The present system of energy metering as well as billing in India uses electromechanical and somewhere digital meter. it consumes more time and labor. One of the prime reasons is the traditional billing system which is inaccurate. The smart energy meter gives real power consumption as well as accurate billing. In the project, we will measure the energy being consumed in the house and will generate its bill automatically using telemetric communication. This will help in reducing the consumption of energy in the house as the owner will continuously be notified about the number of units that are being consumed. The main objective is to generate the bill automatically by checking the electricity unit’s consumption of the house to reduce the manual labor. The calculations will be performed controller and the bill will be updated on to the clouds by using a network of Internet of Things. The bill amount can be checked by the user and suppler anywhere remotely.

Paper introduces a system which provides a platform for a consumer to monitor the meter reading via “ThingSpeak” and control the energy consumption, it will also support in keeping the track of energy meter billing. This system helps us to reduce turmoil’s and energy related dissent. The system is implemented using Atmega328P microcontroller and ESP8266 Wi-Fi module. This system do not require the replacement of the energy meter but we associate this system with the installed energy meter that benefit the consumer, the base for designing and implementation of a system is IoT (Internet of Things). The instantaneous data will be fetched from the meter and uploaded on the ‘ThingSpeak’ IoT cloud platform.


2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Liang Zhao

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.


Author(s):  
Tsapalasetty Arjun

In this paper we are focusing on automatic billing and metering, The GSM Short Message Service (SMS) and Arduino connection gives the metre reading system several predefined automatic capabilities.The energy consumption and electricity bill and loads will be providing through GSM module to the customer and to the concern electricity department. An alert message will be send to the customer and vigilance squad when the consumption unit reading reaches beyond the specific threshold. And loads on and off through gsm This paper contains energy consumption details in terms of power units and power units will be displayed on the LCD and will be notified to the customer via SMS and customer will also be able to recharge with the help of GSM module as well as microcontroller.


2019 ◽  
Vol 87 ◽  
pp. 01001 ◽  
Author(s):  
V. Badri Rama Krishnan ◽  
Keerthana Sandepudi ◽  
Shaista Gazal

The rising demand and tariff rates of electric power have derived the need to develop innovative methods to monitor, manage, economize and save energy. Energy monitoring and conservation are pre-eminent today because of the imbalance between power generation and demand. This paper proposes the outline and application of electrical energy measurement by an Arduino micro-controller that is used to calculate the power consumed by any individual electrical device. The main intention of the presented energy meter is to monitor, acquire and interpret the power consumption data online by integrating smart plugs, sensors at the device level and upload it to the server using IoT based communication protocol. Thus, this project enables the consumer to act accordingly to save power and to render a reliable power supply by making maximum use of energy sources in the cheapest ways.


2021 ◽  
Vol 13 (1) ◽  
pp. 26-32
Author(s):  
Satrio Yudho

The manner of efficiency and effective of power usage is the main objective in electricity consumption, one major steps to control the usage is by providing a monitoring to aim the power usage data and process it to information needed. Internet of Things benefit in power and electricity has involved sensors to work as data reader continuously.  LoRa or well known as Long Range radio communication system work with chirp spread spectrum which work from 920 to 923 Mhz in Indonesia. This paper presents implementation of LoRa system to support the prototype of energy monitoring in Solar Home System off-grid


2018 ◽  
Vol 7 (03) ◽  
pp. 23692-23696
Author(s):  
Pala, M. Maqbool

Internet of things is a fast growing technology that shall be shaping overall living standards of human beings all over the world. It, however like all other technological advancements, is dependent on certain factors. This paper tries to evaluate the scope, chances of growth and challenges that can hinder its survival in Kashmir.


Author(s):  
Mehdi Amiri Nasab ◽  
Shahaboddin Shamshirband ◽  
Anthony Theodore Chronopoulos ◽  
Amir Mosavi ◽  
Narjes Nabipur

The radio operation in wireless sensor networks (WSN) in the Internet of Things (IoT) applications are the most common source for power consumption. However, recognizing and controlling the factors affecting radio operation can be valuable for managing the node power consumption. ContikiMAC is a low-power Radio Duty-Cycle protocol in Contiki OS used in WakeUp mode, which is a clear channel assessment (CCA) to check radio status periodically. The time spent to check the radio is of utmost importance for monitoring power consumption. It can lead to false WakeUp or idle listening in Radio Duty-Cycles and ContikiMAC. This paper presents a detailed analysis of radio WakeUp time factors of ContikiMAC. Then, we propose lightweight CCA (LW-CCA) as an extension to ContikiMAC to reduce the percentage of Radio Duty-Cycles in false WakeUps and idle listenings by using dynamic received signal strength indicators (RSSI) status check time. The simulation results in the Cooja simulator show that LW-CCA reduces about 8% energy consumption in nodes while maintaining up to 99% of the packet delivery rate (PDR).


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