Titlebook: Smart Grids; Opportunities, Devel A B M Shawkat Ali Book 2013 Springer-Verlag London 2013 Information and Communication Technology.Power De

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Securing the Smart Grid: A Machine Learning Approach,facing many challenges to facilitate the continuous flow of electricity from large power plants to the consumers. To overcome these challenges, the power industry has warmly accepted the new concept . which has been initiated by the engineers. This movement will be more beneficial and sustainable to

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Smart Grid Communication and Networking Technologies: Recent Developments and Future Challenges,ing information communication technologies such as pervasive computing, in the control and decision-making processes. The smart grid is characterised by such functionality as being able to adapt to load and demand changes, intelligently manage bidirectional data flow and crucially enhance system rel

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Economy of Smart Grid,tial known investment with estimated future operating costs. Most smart gird requires an auxiliary energy source so that the system includes both renewable and conventional equipment, and the annual loads are met by a combination of the sources. In essence, renewable-based smart grid is bought today

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Database Systems for the Smart Grid,In this chapter, two aspects of database systems, namely database management and data mining, for the smart grid are covered. The uses of database management and data mining for the electrical power grid comprising of the interrelated subsystems of power generation, transmission, distribution, and utilization are discussed.

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Green Energy and Technologyhttp://image.papertrans.cn/s/image/868793.jpg

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https://doi.org/10.1007/978-1-4471-5210-1Information and Communication Technology; Power Demand Forecasting; Power Quality & Storage; Smart Solu

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Smart Grids978-1-4471-5210-1Series ISSN 1865-3529 Series E-ISSN 1865-3537