scholarly journals An Exploration of the Three-Layer Model Including Stakeholders, Markets and Technologies for Assessments of Residential Smart Grids

2018 ◽  
Vol 8 (12) ◽  
pp. 2363 ◽  
Author(s):  
Angèle Reinders ◽  
Stefan Übermasser ◽  
Wilfried van Sark ◽  
Cihan Gercek ◽  
Wouter Schram ◽  
...  
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Social Acceptance ◽  
Extensive Literature ◽  
End User ◽  
Layer Model ◽  
Literature Study ◽  
Grid Environment ◽  
Smart Energy Systems ◽  
Effective Assessment

In this paper, a framework is presented for the evaluation of smart grid environment which is called the three-layer model. This three-layer model comprises three specific categories, or ‘layers’, namely, the stakeholder, market and technologies layers. Each layer is defined and explored herein, using an extensive literature study regarding their key elements, their descriptions and an overview of the findings from the literature. The assumption behind this study is that a solid understanding of each of the three layers and their interrelations will help in more effective assessment of residential smart grid pilots in order to better design products and services and deploy smart grid technologies in networks. Based on our review, we conclude that, in many studies, social factors associated with smart grid pilots, such as markets, social acceptance, and end-user and stakeholder demands, are most commonly defined as uncertainties and are therefore considered separately from the technical aspects of smart grids. As such, it is recommended that, in future assessments, the stakeholder and market layers should be combined with the technologies layer so as to enhance interaction between these three layers, and to be able to better evaluate residential smart energy systems in a multidisciplinary context.

scholarly journals Fog Computing for Realizing Smart Neighborhoods in Smart Grids

Computers ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 76
Author(s):  
Rituka Jaiswal ◽  
Reggie Davidrajuh ◽  
Chunming Rong
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Fog Computing ◽  
Cost Effective ◽  
Security And Privacy ◽  
The Internet ◽  
Extensive Literature ◽  
Literature Study ◽  
Computing Services ◽  
Iot Devices

Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet of Things (IoT) devices and the volume, variety, veracity and velocity of the data generated by these devices. There is a need for ultra-low latency, reliable service along with security and privacy. Fog Computing is a promising solution to overcome these challenges. The originality, scope and novelty of this paper is the definition and formulation of the problem of smart neighborhoods in context of smart grids. This is achieved through an extensive literature study, firstly on Fog Computing and its foundation technologies, its applications and the literature review of Fog Computing research in various application domains. Thereafter, we introduce smart grid and community MicroGrid concepts and, their challenges to give the in depth background of the problem and hence, formalize the problem. The smart grid, which ensures reliable, secure, and cost-effective power supply to the smart neighborhoods, effectively needs Fog Computing architecture to achieve its purpose. This paper also identifies, without rigorous analysis, potential solutions to address the problem of smart neighborhoods. The challenges in the integration of Fog Computing and smart grids are also discussed.

BI-FIT

2010 ◽  
pp. 162-177 ◽  
Author(s):  
Rick Tijsen ◽  
Marco Spruit ◽  
Martijn van de Ridder ◽  
Bas van Raaij
Keyword(s):  
Decision Support ◽  
Business Intelligence ◽  
End Users ◽  
Extensive Literature ◽  
End User ◽  
Literature Study ◽  
Relevant Factors

Over the years many organizations have invested in Business Intelligence (BI) systems. While BI-software enables organization-wide decision support, problems are encountered in the “fit” between systems’ provision and changing requirements of a growing amount of BI (end-) users. This chapter aims at investigating the factors that influence the “fit” between Business Intelligence (BI) end-users, tasks and technologies (BI-FIT). Based on an extensive literature study on the elements of BI-FIT, in this research the BI-FIT Framework is developed that shows the most relevant factors and the interrelationships between BI end-users, tasks and technologies. The framework can be used to help organizations to identify and fulfill the needs of BI end-users, thereby improving adoption and increasing satisfaction of the BI end-user base.

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.

Power data mining in smart grid environment

2020 ◽  
pp. 1-7
Author(s):  
Ying Liu ◽  
Guoshi Wang ◽  
Wei Guo ◽  
Yingbin Zhang ◽  
Weiwei Dong ◽  
...  
Keyword(s):  
Data Mining ◽  
Smart Grid ◽  
Smart Grids ◽  
Load Forecasting ◽  
Grid Environment ◽  
Power Load ◽  
Depth Analysis ◽  
Power Load Forecasting ◽  
Distribution Of Power ◽  
National Industry

The power grid is the foundation of the development of the national industry. The rational and efficient distribution of power resources plays an important role in economic development. The smart grid is the use of modern network information technology to realize the exchange of data information between grid devices. The construction of smart grids has accumulated a huge amount of data resources. At present, the demand for power companies to “use data management enterprises and use the information to drive services” is increasingly urgent. Power big data has become the basis for grid companies to make decisions, but the accumulation of pure data does not bring benefits to grid companies. Therefore, making full use of these actual data based on the grid, in-depth analysis, and discovering and using the hidden information is of great significance for guiding the power companies to make correct decisions. This paper first analyzes the differences between smart grids and traditional grids and provides an overview of data mining techniques, including the association rules commonly used in association analysis. Then the application scenarios of data mining in the smart grid are put forward, and data mining technology is applied to power load forecasting. The experimental results show that the data mining method and actual results of the power load forecasting in the smart grid environment proposed in this paper are within a reasonable range. Therefore, the results of load forecasting in this paper are still of practical value.

Sistemas de Comunicaciones y Redes de Datos en Smart Grids, una Revisión al Estado del Arte

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
R. Herrera ◽  
L. Herrera
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
La Red

Las smart grids han sido concebidas como la combinación de la red eléctrica tradicional (generación, transmisión, distribución, y comercialización, incluyendo las energías alternativas) con las redes de comunicaciones electrónicas. Este concepto revoluciona la administración, supervisión, y mantenimiento de la red eléctrica, volviéndola inteligente ante sobrecargas, caídas, apagones, caídas de tensión disminuyendo los tiempos de respuesta ante estos problemas. En este trabajo se analizan las tecnologías de redes de datos y comunicaciones electrónicas implicadas en este nuevo concepto de gestión eficiente de la electricidad. En la primera sección se abordan conceptos introductorios para entender las diferencias entre las redes eléctricas tradicionales y las smart grids, luego se realiza un análisis de las arquitecturas y requerimientos de diseño de una smart grid, para en la siguiente sección elaborar una revisión de las tecnologías de comunicaciones actualmente usadas en smart grids, para finalmente analizar los retos de diseño, líneas de investigación y estandarización actuales en las tecnologías de smart grids. En la última sección se anexan las conclusiones de la realización de este trabajo.

Economic and environmental aspects of Smart Grid technologies implementation in Ukraine

2020 ◽  
pp. 28-37
Author(s):  
Oleksandra V. Kubatko ◽  
Diana O. Yaryomenko ◽  
Mykola O. Kharchenko ◽  
Ismail Y. A. Almashaqbeh
Keyword(s):  
Smart Grid ◽  
Environmental Sustainability ◽  
Distribution System ◽  
Energy Security ◽  
Smart Grids ◽  
Renewable Energy Sources ◽  
Average Energy ◽  
Time Of Day ◽  
Electricity Supply ◽  
Auxiliary Equipment

Interruptions in electricity supply may have a series of failures that can affect banking, telecommunications, traffic, and safety sectors. Due to the two-way interactive abilities, Smart Grid allows consumers to automatically redirect on failure, or shut down of the equipment. Smart Grid technologies are the costly ones; however, due to the mitigation of possible problems, they are economically sound. Smart grids can't operate without smart meters, which may easily transmit real-time power consumption data to energy data centers, helping the consumer to make effective decisions about how much energy to use and at what time of day. Smart Grid meters do allow the consumer to track and reduce energy consumption bills during peak hours and increase the corresponding consumption during minimum hours. At a higher level of management (e.g., on the level of separate region or country), the Smart Grid distribution system operators have the opportunity to increase the reliability of power supply primarily by detecting or preventing emergencies. Ukraine's energy system is currently outdated and cannot withstand current loads. High levels of wear of the main and auxiliary equipment of the power system and uneven load distribution in the network often lead to emergencies and power outages. The Smart Grid achievements and energy sustainability are also related to the energy trilemma, which consists of key core dimensions– Energy Security, Energy Equity, and Environmental Sustainability. To be competitive in the world energy market, the country has to organize efficiently the cooperation of public/private actors, governments, economic and social agents, environmental issues, and individual consumer behaviors. Ukraine gained 61 positions out of 128 countries in a list in 2019 on the energy trilemma index. In general, Ukraine has a higher than average energy security position and lower than average energy equity, and environmental sustainability positions. Given the fact that the number of renewable energy sources is measured in hundreds and thousands, network management is complicated and requires a Smart Grid rapid response. Keywords: economic development, Smart Grid, electricity supply, economic and environmental efficiency.

Distributed Generation Units as Ancillary Services Providers in a Pre Smart Grid Environment

2015 ◽  
Vol 9 (1) ◽  
pp. 432-444
Author(s):  
Clainer Bravin Donadel ◽  
Jussara Farias Fardin ◽  
Lucas Frizera Encarnação
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Ancillary Services ◽  
Grid Environment

Global Trends in the Political Economy of Smart Grids

2017 ◽  
Author(s):  
Cherrelle Eid ◽  
Rudi Hakvoort ◽  
Martin de Jong
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
The United States ◽  
Industry Structure ◽  
Electricity Sector ◽  
Distributed Energy ◽  
Global Trends ◽  
Political Economic ◽  
Regulatory Models ◽  
Global Transition

The global transition towards sustainable, secure, and affordable electricity supply is driving changes in the consumption, production, and transportation of electricity. This chapter provides an overview of three main causes of political–economic tensions with smart grids in the United States, Europe, and China, namely industry structure, regulatory models, and the impact of energy policy. In all cases, the developments are motivated by the possible improvements in reliability and affordability yielded by smart grids, while sustainability of the electricity sector is not a central motivation. A holistic smart grid vision would open up possibilities for better integration of distributed energy resources. The authors recommend that smart grid investments should remain outside of the regulatory framework for utilities and distribution service operators in order to allow for such developments.

scholarly journals Digital Addiction: Systematic Review of Computer Game Addiction Impact on Adolescent Physical Health

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 996
Author(s):  
Norshakirah Aziz ◽  
Md Jan Nordin ◽  
Said Jadid Abdulkadir ◽  
Muhammad Muhaimin M. Salih
Keyword(s):  
Physical Health ◽  
Computer Games ◽  
Relevant Literature ◽  
Primary Objective ◽  
Extensive Literature ◽  
Literature Study ◽  
Computer Gaming ◽  
Digital Addiction ◽  
The Impact ◽  
Malaysian Adolescents

The advancement of technology has enabled powerful microprocessors to render high-quality graphics for computer gaming. Despite being intended for leisure purposes, several components of the games alongside the gamer’s environmental factors have resulted in digital addiction (DA) towards computer games such as massively multiplayer online games (MMOG). Excessive gaming among adolescents has various negative impacts on an individual. However, only a few researchers have addressed the impact of DA on physical health. Thus, the primary objective of this research is to study the impact of DA on physical health among Malaysian adolescents. This study focuses on Malaysian adolescents of ages 12–18 years old who are addicted to computer games, specifically the MMOG. The methodology used for the study involves focus group discussions (FGD) and extensive literature study. The FGD sessions have involved both medical experts and game experts. The outcome of FGD discussion is recorded and justified with the existing relevant literature from high-impact journals, theses, conferences, books, and reports. This paper provides evidence of five physical health impacts of DA associated with adolescents. The factors of DA, the addiction components existing in MMOG computer games, and the DA health risk assessment are presented in the results section. Based on the study, it is concluded that DA among Malaysian adolescents can cause various impacts on physical health such as obesity, back pain, and neck pain, orthopaedic/joint muscle, eyesight problem, hearing problem, as well as physical inactivity.

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