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Forecasting nonstationary time series based on Hilbert-Huang transform and machine learning

We propose a modification of the adaptive approach to time series forecasting. On the first stage, the original signal is decomposed with respect to a special empirical adaptive orthogonal basis, and the Hilbert’s integral transform is applied. On the second stage, the resulting orthogonal functions and their instantaneous amplitudes are used as input variables for the machine learning unit that employs a hybrid genetic algorithm to train an artificial neural network and a regressive model based...

Теги: control , forecast , energy market
Раздел: ESI SB RAS
Monitoring, Control and Protection of Interconnected Power Systems

This book provides a great value for professional power system engineers as well as for students interested in topics related to large scale power system monitoring, control, protection and operation. The interstate integration of power grids provides multiple advantages concerning operation security, integration of renewable energy as well as energy trading. Due to these facts grid interconnections, such as ENTSO-E ...

Теги: power systems , monitoring , control , interconnected power systems
Раздел: ESI SB RAS


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