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With rapidly increasing complexity of power grids in Europe, North America and Asia, liberalization of electricity markets and increasing penetration of renewable energy, the risk of large-scale emergencies and blackouts increases. This paper proposes a novel approach for development of software for modelling of decentralized intelligent systems for security monitoring and control in power systems...
Precise wind resource assessment is one of the more imminent challenges. In the present work, we develop an adaptive approach to wind speed forecasting. The approach is based on a combination of the efficient apparatus of non-stationary time series of wind speed retrospective data analysis based on the Hilbert-Huang transform and machine learning models. Models that are examined include neural networks,...
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