The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Daphne Ngaryin Mah - One of the best experts on this subject based on the ideXlab platform.
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governing the transition of socio technical systems a case study of the development of Smart Grids in korea
Energy Policy, 2012Co-Authors: Daphne Ngaryin Mah, Johannes Marinus Van Der Vleuten, Peter HillsAbstract:This paper examines the motivations, processes and outcomes of the development of Smart Grids in South Korea through the perspectives of governance and innovation systems. Drawing on desktop research and semi-structured interviews, this paper has two major findings. First, the development of Smart Grids in Korea has been shaped by various factors including macroeconomic policy, the role of the government, and experimentation. The complex interactions between these factors at the landscape, regime and niche levels has impacted on the development of Smart Grids. Second, while Korea's government-led approach has its strengths in driving change, it has also exposed weaknesses in the country's ability to mobilise the private sector and consumer participation. Major obstacles including partial electricity market reform and public distrust exist. A systemic perspective is needed for policy in order to accommodate the changes required for Smart grid development. Regulatory reforms, particularly price-setting mechanisms, and consumer engagement are priority areas for policy change.
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governing the transition of socio technical systems a case study of the development of Smart Grids in korea
Energy Policy, 2012Co-Authors: Daphne Ngaryin Mah, Johannes Marinus Van Der Vleuten, Peter HillsAbstract:This chapter examines the motivations, processes, and outcomes of the development of Smart Grids in South Korea through the perspectives of governance and innovation systems. Drawing on desktop research and semi-structured interviews, this chapter has two major findings. First, the development of Smart Grids in Korea has been shaped by various factors including macroeconomic policy, the role of the government, and experimentation. The complex interactions between these factors at the landscape, regime, and niche levels have impacted on the development of Smart Grids. Second, while Korea’s government-led approach has its strengths in driving change, it has also exposed weaknesses in the country’s ability to mobilise the private sector and consumer participation. Major obstacles including partial electricity market reform and public distrust exist. A systemic perspective is needed for policy in order to accommodate the changes required for Smart grid development. Regulatory reforms, particularly price-setting mechanisms, and consumer engagement are priority areas for policy change.
Peter Hills - One of the best experts on this subject based on the ideXlab platform.
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governing the transition of socio technical systems a case study of the development of Smart Grids in korea
Energy Policy, 2012Co-Authors: Daphne Ngaryin Mah, Johannes Marinus Van Der Vleuten, Peter HillsAbstract:This paper examines the motivations, processes and outcomes of the development of Smart Grids in South Korea through the perspectives of governance and innovation systems. Drawing on desktop research and semi-structured interviews, this paper has two major findings. First, the development of Smart Grids in Korea has been shaped by various factors including macroeconomic policy, the role of the government, and experimentation. The complex interactions between these factors at the landscape, regime and niche levels has impacted on the development of Smart Grids. Second, while Korea's government-led approach has its strengths in driving change, it has also exposed weaknesses in the country's ability to mobilise the private sector and consumer participation. Major obstacles including partial electricity market reform and public distrust exist. A systemic perspective is needed for policy in order to accommodate the changes required for Smart grid development. Regulatory reforms, particularly price-setting mechanisms, and consumer engagement are priority areas for policy change.
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governing the transition of socio technical systems a case study of the development of Smart Grids in korea
Energy Policy, 2012Co-Authors: Daphne Ngaryin Mah, Johannes Marinus Van Der Vleuten, Peter HillsAbstract:This chapter examines the motivations, processes, and outcomes of the development of Smart Grids in South Korea through the perspectives of governance and innovation systems. Drawing on desktop research and semi-structured interviews, this chapter has two major findings. First, the development of Smart Grids in Korea has been shaped by various factors including macroeconomic policy, the role of the government, and experimentation. The complex interactions between these factors at the landscape, regime, and niche levels have impacted on the development of Smart Grids. Second, while Korea’s government-led approach has its strengths in driving change, it has also exposed weaknesses in the country’s ability to mobilise the private sector and consumer participation. Major obstacles including partial electricity market reform and public distrust exist. A systemic perspective is needed for policy in order to accommodate the changes required for Smart grid development. Regulatory reforms, particularly price-setting mechanisms, and consumer engagement are priority areas for policy change.
Sookchi Yip - One of the best experts on this subject based on the ideXlab platform.
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detection of energy theft and defective Smart meters in Smart Grids using linear regression
International Journal of Electrical Power & Energy Systems, 2017Co-Authors: Sookchi Yip, Koksheik Wong, Wooi Ping Hew, Raphael C W PhaAbstract:The utility providers are estimated to lose billions of dollars annually due to energy theft. Although the implementation of Smart Grids offers technical and social advantages, the Smart meters deployed in Smart Grids are susceptible to more attacks and network intrusions by energy thieves as compared to conventional mechanical meters. To mitigate non-technical losses due to electricity thefts and inaccurate Smart meters readings, utility providers are leveraging on the energy consumption data collected from the advanced metering infrastructure implemented in Smart Grids to identify possible defective Smart meters and abnormal consumers’ consumption patterns. In this paper, we design two linear regression-based algorithms to study consumers’ energy utilization behavior and evaluate their anomaly coefficients so as to combat energy theft caused by meter tampering and detect defective Smart meters. Categorical variables and detection coefficients are also introduced in the model to identify the periods and locations of energy frauds as well as faulty Smart meters. Simulations are conducted and the results show that the proposed algorithms can successfully detect all the fraudulent consumers and discover faulty Smart meters in a neighborhood area network.
Raphael C W Pha - One of the best experts on this subject based on the ideXlab platform.
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detection of energy theft and defective Smart meters in Smart Grids using linear regression
International Journal of Electrical Power & Energy Systems, 2017Co-Authors: Sookchi Yip, Koksheik Wong, Wooi Ping Hew, Raphael C W PhaAbstract:The utility providers are estimated to lose billions of dollars annually due to energy theft. Although the implementation of Smart Grids offers technical and social advantages, the Smart meters deployed in Smart Grids are susceptible to more attacks and network intrusions by energy thieves as compared to conventional mechanical meters. To mitigate non-technical losses due to electricity thefts and inaccurate Smart meters readings, utility providers are leveraging on the energy consumption data collected from the advanced metering infrastructure implemented in Smart Grids to identify possible defective Smart meters and abnormal consumers’ consumption patterns. In this paper, we design two linear regression-based algorithms to study consumers’ energy utilization behavior and evaluate their anomaly coefficients so as to combat energy theft caused by meter tampering and detect defective Smart meters. Categorical variables and detection coefficients are also introduced in the model to identify the periods and locations of energy frauds as well as faulty Smart meters. Simulations are conducted and the results show that the proposed algorithms can successfully detect all the fraudulent consumers and discover faulty Smart meters in a neighborhood area network.
Chunming Rong - One of the best experts on this subject based on the ideXlab platform.
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Fog Computing for Realizing Smart Neighborhoods in Smart Grids
Computers, 2020Co-Authors: Rituka Jaiswal, Reggie Davidrajuh, Chunming RongAbstract: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.
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Fog Computing for Realizing Smart Neighborhoods in Smart Grids
'MDPI AG', 2020Co-Authors: Jaiswal Rituka, Davidrajuh Reggie, Chunming RongAbstract: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.publishedVersio
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A Widespread Review of Smart Grids Towards Smart Cities
'MDPI AG', 2019Co-Authors: Farmanbar Mina, Parham Kiyan, Arild Øystein, Chunming RongAbstract:© 2019 by the authorsNowadays, the importance of energy management and optimization by means of Smart devices has arisen as an important issue. On the other hand, the intelligent application of Smart devices stands as a key element in establishing Smart cities, which have been suggested as the solution to complicated future urbanization difficulties in coming years. Considering the scarcity of traditional fossil fuels in the near future, besides their ecological problems the new Smart Grids have demonstrated the potential to merge the non-renewable and renewable energy resources into each other leading to the reduction of environmental problems and optimizing operating costs. The current paper clarifies the importance of Smart Grids in launching Smart cities by reviewing the advancement of micro/nano Grids, applications of renewable energies, energy-storage technologies, Smart water Grids in Smart cities. Additionally a review of the major European Smart city projects has been carried out. These will offer a wider vision for researchers in the operation, monitoring, control and audit of Smart-grid systems.publishedVersio
