Research on the Utilization of Smart Meters’ Information under the Background of Smart Grid

2012 ◽  
Vol 605-607 ◽  
pp. 1023-1026 ◽  
Author(s):  
Hao Chi Guo ◽  
Dong Xiao Niu ◽  
Jin Peng Liu ◽  
Zhen Ma
Keyword(s):  
Smart Grid ◽  
Energy Conservation ◽  
Data Acquisition ◽  
Information Integration ◽  
Large Scale ◽  
Smart Meter ◽  
Smart Meters ◽  
Technical Requirements ◽  
Conservation Efficiency ◽  
Integration Analysis

Smart meters are developed gradually from the traditional power meters, which is an important terminal in the smart grid. It is the foundation of information integration, analysis, optimization and information expression, and undertakes the task to data acquisition, measurement and transmission. This paper reviews the development and application of smart meters, analysis the technical requirements, function of smart meter, and summarizes the benefit of smart meters’ application. It can be concluded that the large-scale use of smart meters will fully reflected energy conservation, efficiency, and safety of the smart grid.

Smart Metering for Applications

2014 ◽  
Vol 960-961 ◽  
pp. 823-827
Author(s):  
Ying Pan ◽  
Bo Jiang
Keyword(s):  
Smart Grid ◽  
Electrical Energy ◽  
Smart Meter ◽  
Smart Metering ◽  
Power Network ◽  
Energy Usage ◽  
Smart Meters ◽  
Additional Information ◽  
Energy Efficiency Improvement ◽  
Energy Meter

As an important part of Smart Grid, smart metering attracts more and more attention all over the world. It is the way for energy consumer to sense the benefit of smart grid directly. Smart meter is an advanced energy meter that measures consumption of electrical energy providing additional information compared to a conventional energy meter. This paper discusses various applications and technologies that can be integrated with a smart meter. Smart meters can be used not only from the supply side monitoring but also for the demand side management as well. It plays an important role to monitor the performance and the energy usage of the grid loadings and power quality. In addition, This paper gives a comprehensive view on the benefit of smart metering in power network such as energy efficiency improvement.

scholarly journals Smart metering system data analytics platform using multicore edge computing

2021 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Juan C. Olivares-Rojas ◽  
Enrique Reyes-Archundia ◽  
José A. Gutiérrez-Gnecchi ◽  
Ismael Molina-Moreno ◽  
Adriana C. Téllez-Anguiano ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Data Processing ◽  
Data Analytics ◽  
Electricity Consumption ◽  
Edge Computing ◽  
Smart Meter ◽  
Smart Metering ◽  
Smart Meters ◽  
System Data

The smart grid revolution has only been possible, thanks to the development and proliferation of smart meters. The increasingly growing computing capabilities for Internet of Things devices have made it possible for data to be processed directly from the devices where it is produced; this has been called edge computing. Edge computing is allowing the smart grid to become increasingly intelligent to solve problems that make electricity consumption more efficient and environmentally friendly. This work presents the implementation of a smart metering system that allows data analytics using a multiprocessing architecture directly on the smart meter. The results show that the development of smart meters with data analytics capabilities at the edge is a reality today, and the use of multiprocessing permits the improvement of data processing.

scholarly journals Application of Spritz Encryption in Smart Meters to Protect Consumer Data

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Lincoln Kamau Kiarie ◽  
Philip Kibet Langat ◽  
Christopher Maina Muriithi
Keyword(s):  
Smart Grid ◽  
Electrical Power ◽  
Cyber Attacks ◽  
Smart Meter ◽  
Electrical Power System ◽  
Smart Meters ◽  
Planning And Control ◽  
Privacy Leakage ◽  
Consumer Data ◽  
And Control

The ongoing upgrade of the electrical power system into a more powerful system known as Smart Grid has both benefits and costs. Smart Grid relies on advanced communication and hence offers better services through improved monitoring, planning, and control. However, enhanced communications make Smart Grid more susceptible to privacy leaks and cyber attacks. Small meters collect detailed consumer data, such as power consumption, which can then become a major source of privacy leakage. Encryption can help protect consumer data, but great care is needed. The popular RC4 (Rivest Cipher 4) encryption has been implemented in the widely deployed smart meter standard—Open Smart Grid Protocol (OSGP)—but has been shown to have major weaknesses. This paper proposes the use of Spritz encryption. Spritz is an RC4-like algorithm designed to repair weak design decisions in RC4 to improve security. A test on performing one encryption took only 0.85 milliseconds, showing that it is fast enough not to affect the operations of a smart meter. Its ability to withstand brute force attacks on small keys is also significantly greater than RC4’s ability.

Research of Smart Meter Massive Data Storage Based on Cloud Computing Platform

2013 ◽  
Vol 341-342 ◽  
pp. 1434-1438
Author(s):  
Weng Ting Li ◽  
Yan Zheng ◽  
Shao Bo Liu ◽  
Zhao Zhi Long ◽  
Zhi Cheng Li
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Data Storage ◽  
Massive Data ◽  
Smart Meter ◽  
Smart Meters ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Distributed Computing Platform ◽  
Grid Operation

With the comprehensive construction of the smart grid, the smart grid operation control and interactive service system will be initially formed. The smart terminal of smart grid are smart meters, and they produce a large number of various data all the time. That how to most effectively manage these massive data storage is an important research point for improving the intelligence service. This paper studies the smart meter massive data storage management based on cloud computing platform. The Hadoop distributed computing platform for smart meter massive data management is reliable, efficient, scalable storage.

scholarly journals Data falsification attacks in advanced metering infrastructure

2021 ◽  
Vol 10 (1) ◽  
pp. 412-418
Author(s):  
Hasventhran Baskaran ◽  
Abbas M. Al-Ghaili ◽  
Zul- Azri Ibrahim ◽  
Fiza Abdul Rahim ◽  
Saravanan Muthaiyah ◽  
...  
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Smart Grids ◽  
Supply And Demand ◽  
Effective Control ◽  
Smart Meter ◽  
Advanced Metering Infrastructure ◽  
End User ◽  
Smart Meters ◽  
Advanced Metering

Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart grids, can be used to provide a range of power applications and services based on AMI data. The increased deployment of smart meters and AMI have attracted attackers to exploit smart grid vulnerabilities and try to take advantage of the AMI and smart meter’s weakness. One of the possible major attacks in the AMI environment is False Data Injection Attack (FDIA). FDIA will try to manipulate the user’s electric consumption by falsified the data supplied by the smart meter value in a smart grid system using additive and deductive attack methods to cause loss to both customers and utility providers. This paper will explore two possible attacks, the additive and deductive data falsification attack and illustrate the taxonomy of attack behaviors that results in additive and deductive attacks. This paper contributes to real smart meter datasets in order to come up with a financial impact to both energy provider and end-user.

Energy Consumers' Perspectives on Smart Meter Data

2018 ◽  
pp. 241-260
Author(s):  
Jenifer Sunrise Winter
Keyword(s):  
Smart Grid ◽  
Public Space ◽  
Personal Data ◽  
Smart Meter ◽  
Smart Metering ◽  
Data Types ◽  
Smart Meters ◽  
Contextual Integrity ◽  
Or Groups ◽  
Potential Problems

This chapter employs the framework of contextual integrity related to privacy developed by Nissenbaum as a tool to understand consumer response to implementation of residential smart metering technology. To identify and understand specific changes in information practices brought about by the introduction of smart meters, energy consumers were interviewed, read a description of planned smart grid/meter implementation, and were asked to reflect on changes in the key actors involved, information attributes, and principles of transmission. Areas where new practices emerge with the introduction of residential smart meters were then highlighted as potential problems (privacy violations). Issues identified in this study included concern about unauthorized use and sharing of personal data, data leaks or spoofing via hacking, the blurring distinction between the home and public space, and inferences made from new data types aggregated with other personal data that could be used to unjustly discriminate against individuals or groups.

Research on Smart Meter BOA and System Design

2013 ◽  
Vol 397-400 ◽  
pp. 1897-1900
Author(s):  
Jian Yang Zhao ◽  
Jing Mei Cheng ◽  
Wei Hong Ding
Keyword(s):  
Smart Grid ◽  
System Design ◽  
Data Base ◽  
Real Time ◽  
Smart Meter ◽  
Smart Meters ◽  
Operation System ◽  
Linux Operation System ◽  
Advanced Metering ◽  
And Storage

As an important part of the smart grid, smart meters and advanced metering infrastructures are given the newly missions connected network. Along with Ethernet development smart meters with measurements and networks, meter with BOA can become reality. In this paper a system of smart meter BOA and its smart meter networking has developed. It has real time displays and storage of smart meter data. The system uses a ARM9 (S3C2440) chip with a Linux operation system. Gathering from breaker via RS232, Data are sent to BOA server through named pipes to be displayed on web. At the same time, these data are stored in embed data base SQLite, for feature managements.

Citizen Perspectives on the Customization/Privacy Paradox Related to Smart Meter Implementation

2015 ◽  
Vol 6 (1) ◽  
pp. 45-59 ◽  
Author(s):  
Jenifer Sunrise Winter
Keyword(s):  
Smart Grid ◽  
Public Space ◽  
Personal Data ◽  
Smart Meter ◽  
Smart Metering ◽  
Data Types ◽  
Smart Meters ◽  
Or Groups ◽  
Potential Problems ◽  
Citizen Response

This paper employs the framework of contextual integrity related to privacy developed by as a tool to understand citizen response to implementation of residential smart metering technology. To identify and understand specific changes in information practices brought about by the introduction of smart meters, citizens were interviewed, read a description of planned smart grid/meter implementation, and were asked to reflect on changes in the key actors involved, information attributes, and principles of transmission. Areas where new practices emerge with the introduction of the smart grid were then highlighted as potential problems (privacy violations). Issues identified in this study included concern about unauthorized use and sharing of personal data, data leaks or spoofing via hacking, the blurring distinction between the home and public space, and inferences made from new data types aggregated with other personal data that could be used to unjustly discriminate against individuals or groups.

A FRAMEWORK FOR ENCOURAGING CONSUMER BEHAVIORAL CHANGE BY MODELING SMART METER DATA ENERGY USAGE

2020 ◽  
pp. 2050006
Author(s):  
MUTINTA MWANSA ◽  
WILLIAM HURST ◽  
YUANYUAN SHEN
Keyword(s):  
Smart Grid ◽  
Carbon Emissions ◽  
Renewable Energy Sources ◽  
Digital Simulation ◽  
Residential Home ◽  
Smart Meter ◽  
Energy Usage ◽  
Electrical Transmission ◽  
Smart Meters ◽  
Home Environments

Responding to climate change requires efforts from utility providers for the production of and engagement with more advanced integrated electrical distribution grids. For example, much of the smart grid effort focuses on bridging together renewable energy sources (as well as an increased level of smart monitoring and automation of electrical transmission). Within the smart grid, the smart meter also has the potential to play a role in reducing the level of carbon emissions for all residential customers, as smart meters provide the means for customers to manage and reduce their electricity usage. For example, detailed energy profiles of energy usage patterns can be constructed and reported back to the end-user. As such, this research investigates residential home environments and how the data produced by smart meters can be used to profile energy usage in homes. In particular, this project concerns the design of a system and algorithm to model and predict household behavior patterns from smart meter readings. The aim is to model the behavioral trends in homes to develop an autonomous system that can advise home users on changes that can be adopted to reduce their carbon emissions. The data used for the research were constructed from a digital simulation model of multiple smart home environments. Using a two-class boosted decision tree, the system is able to detect anomalous users with 71.7% AUC.

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