An intelligent hybrid model of neuro Wavelet, time series and Recurrent Kalman Filter for wind speed forecasting-Reference-Cited by-同舟云学术

An intelligent hybrid model of neuro Wavelet, time series and Recurrent Kalman Filter for wind speed forecasting

Published:2020-10 Issue: Volume:41 Page:100802
ISSN:2213-1388
Container-title:Sustainable Energy Technologies and Assessments
language:en
Short-container-title:Sustainable Energy Technologies and Assessments

Author:

Aly Hamed H.H.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference40 articles.

1. The current status of wind and tidal in-stream electric energy resources;Aly;Am J Electr Power Energy Syst,2013

2. Hamed Aly. Forecasting, Modeling and Control of Tidal Currents Electrical Energy Systems, Ph.D. dissertation, Department of Electrical and Computer Engineering, Dalhousie University, Halifax, N.S.; 2012.

3. Aly Hamed H, El-Hawary ME. An Overview of Off-shore Wind Electrical Energy Systems. In: 23rd Annual Canadian IEEE Conference on Electrical and Computer Engineering, Calgary, Alberta, Canada, May 2-5, 2010.

4. A proposed ANN and FLSM hybrid model for tidal current magnitude and direction forecasting;Aly;IEEE J Oceanic Eng,2014

5. A proposed algorithms for tidal in-stream speed model;Aly;Am J Energy Eng.,2013

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