2014 International Conference on Renewable Energy Research and Application (ICRERA) 2014
DOI: 10.1109/icrera.2014.7016563
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Data processing framework with analytic infrastructure for future smart grid

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Cited by 6 publications
(3 citation statements)
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“…Hwang et al [95] developed a micro-energy grid reference model by maximizing the use of various energy sources, including electricity, heat, and natural gas, to generate, utilize, and distribute energy efficiently. Yamazaki et al [96] presented a strategy and data processing framework with analytic infrastructure to provide advantageous and innovative applications and services for future smart grids. Luo et al [97] introduced a multi-intelligent body system (MAS) and blockchain-based two-layer energy transaction framework.…”
Section: Personal Behavior and Management Datamentioning
confidence: 99%
“…Hwang et al [95] developed a micro-energy grid reference model by maximizing the use of various energy sources, including electricity, heat, and natural gas, to generate, utilize, and distribute energy efficiently. Yamazaki et al [96] presented a strategy and data processing framework with analytic infrastructure to provide advantageous and innovative applications and services for future smart grids. Luo et al [97] introduced a multi-intelligent body system (MAS) and blockchain-based two-layer energy transaction framework.…”
Section: Personal Behavior and Management Datamentioning
confidence: 99%
“…System grids often promote a low energy consumption and a high penetration of local renewable energy generation in order to support future smart cities with sustainability programs including smart buildings [ 1 , 2 , 3 ]. This requires a direct interaction of distribution system customers with energy management and conservation entities [ 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…The authors realized efficient energy generation, consumption, and distribution by optimizing the use of different energy resources like gas, heat, and electricity. Yamzaki et al [6] proposed an approach for the data processing infrastructure in next generation smart grid. This approach would become more complex with heterogeneous factor, such as renewable energy resources, electric vehicles (EVs), microgrids, smart meters, demand-side energy management systems, demand response (DR), and dynamic pricing.…”
mentioning
confidence: 99%