1. SMART METER FOR REAL-
TIME ELECTRICITY LOAD
ANALYSIS
AND CONTROL
SUBMITTED BY:
JOBIN JOSE
JOEL CYRIAC
AKSHAY KUMAR
NELSON PAULOSE
GUIDED BY:
MS. SNEHA MATHEW
ASSISTANT PROFESSOR
DEPT OF CSE
2. ❏ Abstract
❏ System Architecture
❏ Introduction
❏ Literature Review
❏ Existing System
❏ Disadvantages of Existing System
❏ Proposed System
❏ Expected Output
❏ Conclusion
❏ References
Smart Meter for Real-Time Electricity Load Analysis and Control 2
CONTENTS
3. In recent years, significant changes have taken place in the energy sector, from electricity generation to energy
use, and intelligent technology has played a major role. In the IoT sector there are a lot of smart devices and smart
homes as a solution, just as there are Smart Energy Meters that can be used as a solution in our homes. It is possible
to use non-disruptive (offline) tracking using smart meters to control the power consumption of our home
appliances. In this work, an electric meter is used to calculate the power consumption in a room of electrical
appliances by calculating how much electricity passes through a power line in real time. After sensing the data, it
will be upload to the cloud. This allows the consumer to understand which electrical appliances are working
currently and how much electricity load it is consuming in real-time basis, which allows him to make plans on how
to reduce consumption, or to set certain rules and come up with new ideas to save energy, and the environment, or
simply use the right appliances.
Smart Meter for Real-Time Electricity Load Analysis and Control 3
ABSTRACT
4. ● Technology has been developed to ensure the efficient use of energy.
● There is also a need for systems that can control devices, provide warning and security notification, etc.
Improvement has made our lives easier when everything is more accessible.
● Controlling household appliances in a room using this technology on Android phone or website gives users
the ability to control them remotely.
● The solution to this is to develop new energy efficiency technologies to maintain the relationship between
power supply and energy use.
● The proposed system aims to provide power monitoring remotely which is cost efficient, compared to
previous systems.
● We plan to build a website so that the user can sign in and be aware of the power consumption of each room.
● A graphical representation of the power used by each room will let the user know if the power used by any
device exceeds a certain level.
● So the user can take necessary actions to maintain the power usage.
Smart Meter for Real-Time Electricity Load Analysis and Control 4
INTRODUCTION
5. LITERATURE REVIEW
SL NO TITLE PROPOSED
CONTRIBUTIONS
TECHNOLOGY
USED
MERITS DEMERITS
1 A Server Based
Load Analysis Of
Smart Meter
Systems
IoT Communication
Protocols, Prevalent
and Network
Vulnerabilities and
Cyber Threat
Machine learning Continuous
monitoring of
threats, analysis
of network and
provides risk
management
Less error
susceptibility
2 Challenges of Smart
Meter Systems
IoT Security, IoT
Applications
Internet of
Things, RFID,
Microsoft Azure,
ZigBee, Cloud
computing
Allows to
automate,
control,
uniformity in
tasks and good
quality of
service.
Breach of
privacy, security
risk, over-
reliance on
technology, and
the loss of jobs.
Smart Meter for Real-Time Electricity Load Analysis and Control 5
6. LITERATURE REVIEW
SL NO TITLE PROPOSED
CONTRIBUTIONS
TECHNOLOGY
USED
MERITS DEMERITS
3 Remote Electricity
Metering Systems
IoT Communication
Protocols, Prevalent
and Network
Vulnerabilities and
Cyber Threat
Machine learning Continuous
monitoring of
threats, analysis
of network and
provides risk
management
Less error
susceptibility
4 Analysis of Smart
Meter Data for
Electricity
Consumers
Smart metering,
Energy consumption
analysis, Smart meter
data analytics
Machine learning Better access and
data to manage
energy use, more
accurate and
timely billing,
improved outage
restoration,
power quality
data.
Prediction errors
may occur.
Smart Meter for Real-Time Electricity Load Analysis and Control 6
7. Smart Meter for Real-Time Electricity Load Analysis and Control 7
SL NO TITLE PROPOSED
CONTRIBUTIONS
TECHNOLOGY
USED
MERITS DEMERITS
5 Analysis of Smart
Meter Data for
Electricity
Consumers
The transmission of
data via GSM/SMS
GSM/SMS The transmission
of data via
GSM/SMS being
reliable and
secure where it
prevents hacking
and
theft the
information.
Unable to find
live data.
LITERATURE REVIEW
8. ● Power consumption monitors are easy to use and can measure the power consumption
of any 220-volt device.
● One can purchase power supply monitors at most hardware stores for about 1500- 3500.
Before using the monitor, read the user manual. To find out how many electrical outlets the device uses,
simply connect the monitor to the electrical outlet used by the device, and connect the device to the monitor.
● It will show how many watts the device uses. If you want to know how many kilowatt-hours (kWh) of
electricity is used by devices per hour, or day, or more, just leave everything set
and read the display over time.
● Monitors are especially useful at detecting the amount of kWh used at any given time.
● Some monitors will allow you to enter the total cost of your service per kilowatt-hour and provide an
estimate of how much it costs to use the device since it is connected to the monitor.
Smart Meter for Real-Time Electricity Load Analysis and Control 8
EXISTING SYSTEM
9. 1. Many machines continue to absorb small stop power when turned off.
2. These "phantom loads" come from many electrical appliances, such as televisions, appliances, computers, and
kitchen appliances.
3. More phantom loading will increase power consumption by a few watt-hours, and you can use a monitor to
measure them.
4. This loading can be avoided by unplugging the power supply or by using the power cord and using the switch
on the power line to disconnect all engine power.
In short:
● Consumer is unable to get the real-time electricity usage.
● Consumer cannot monitor monthly electricity usage per room.
● Consumer cannot download the electricity usage as a pdf statement.
● Consumer cannot control the rooms remotely.
Smart Meter for Real-Time Electricity Load Analysis and Control 9
DISADVANTAGES OF EXISTING SYSTEM
10. ● In this work we introduce a smart meter, which can be used to measure the load used by
different rooms in a house.
● As per the architecture, the line passes through the KSEB and ELCB meters, and after that the main line passes
the smart meter, Smart meter with current sensor, relay switches, microcontrollers and WIFI modules.
● First the user has to fix the hardware and turn on the smart meter, then the smart meter will work as a WIFI
hotspot and using a smartphone we can open the local webserver and complete the basic setup as network
details, consumer. number, etc.
● After connecting to the internet, the smart meter will establish a socket connection to the web application
created using ‘node.js’.
● Then the smart meter will read the real-time load and upload the data to the web application, and the node.js
web application will store it in a database for future use.
● Since there is a socket connection between the smart meter and the web system,
we can control the rooms remotely.
● Also, the user can download monthly statements from the web app itself.
● We also plan to integrate machine learning-based services, which can be used to predict future data
corresponding to the current data, so that the user can control electricity consumption.
Smart Meter for Real-Time Electricity Load Analysis and Control 10
PROPOSED SYSTEM
11. Smart Meter for Real-Time Electricity Load Analysis and Control 11
SYSTEM ARCHITECTURE
12. EXPECTED OUTPUT
Smart Meter for Real-Time Electricity Load Analysis and Control 12
● Smart meter measure the load used by different rooms in a house.
● Smart meter will read the real-time load and upload the data to the web application.
● Also, the user can download monthly statements from the web app itself.
● We can control the rooms remotely.
● Continuous monitoring of threats, analysis of network and provides risk management.
● Allows to automate, control, uniformity in tasks and good quality of service.
● Data acquisition, Time and resources, and High error susceptibility
● No breach of privacy, less security risk and loss of jobs.
13. ● The proposed system helps the consumer to analyze the power consumption in real-time basis.
● The consumer is able to control the room remotely, which helps to save energy.
● The consumer can download the monthly usage statements as a pdf document.
● These type of systems are very essential in day-to-day life.
Smart Meter for Real-Time Electricity Load Analysis and Control 13
CONCLUSION
14. [1] S. Elakshumi and A. Ponraj, "A server based load analysis of smart meter systems," 2017
International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), 2017,
pp. 141-144, doi: 10.1109/ICNETS2.2017.8067916.
[2] S. Janardhana and M. S. Deekshit Shashikala, "Challenges of smart meter systems," 2016
International Conference on Electrical, Electronics, Communication, Computer and Optimization
Techniques (ICEECCOT), 2016, pp. 78-82, doi: 10.1109/ICEECCOT.2016.7955189.
[3] N. Matanov and A. Zahov, "Remote Electricity Metering Systems," 2019 11th Electrical
Engineering Faculty Conference (BulEF), 2019, pp. 1-6, doi: 10.1109/BulEF48056.2019.9030800.
[4] G. Dudek, A. Gawlak, M. Kornatka and J. Szkutnik, "Analysis of Smart Meter Data for
Electricity Consumers," 2018 15th International Conference on the European Energy Market (EEM),
2018, pp. 1-5, doi: 10.1109/EEM.2018.8469896.
[5] G. Dudek, A. Gawlak, M. Kornatka and J. Szkutnik, "Analysis of Smart Meter Data for
Electricity Consumers," 2018 15th International Conference on the European Energy Market (EEM),
2018, pp. 1-5, doi: 10.1109/EEM.2018.8469896.
Smart Meter for Real-Time Electricity Load Analysis and Control 14
REFERENCES
