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• W2771362457 abstract "Current energy policies are encouraging the connection to the grid of power generation based on low-polluting technologies, mainly those using renewable sources with distribution networks. In this research statistical models are analyzed that helps to understand data and find consistent patterns-trends to make predictions depending on all previous data. Power prediction methods will be analyzed and presented. Depending on a time series analysis result task management with prediction parameters is the main characteristic of a designed system. Transition from one state to another includes not only estimates of the previous and current states, but also a prediction state." @default.
• W2771362457 created "2017-12-22" @default.
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• W2771362457 date "2017-10-01" @default.
• W2771362457 modified "2023-09-26" @default.
• W2771362457 title "Comparative analysis of forecast methods of wind power plant capacity" @default.
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• W2771362457 doi "https://doi.org/10.1109/rtucon.2017.8124798" @default.
• W2771362457 hasPublicationYear "2017" @default.
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