An extreme learning machine based very short-term wind power forecasting method for complex terrain-Reference-Cited by-同舟云学术

An extreme learning machine based very short-term wind power forecasting method for complex terrain

Published:2020-04-16 Issue:22 Volume:42 Page:2715-2730
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Acikgoz Hakan¹^ORCID,Yildiz Ceyhun²^ORCID,Sekkeli Mustafa³^ORCID

Affiliation:

1. Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering, Gaziantep Islam Science and Technology University, Gaziantep, Turkey

2. Vocational School of Elbistan, Department of Electricity and Energy, Kahramanmaraş İstiklal University, Kahramanmaraş, Turkey

3. Faculty of Engineering and Architecture, Department of Electrical and Electronics Engineering, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2020.1755390

Reference31 articles.

1. A new intelligent method based on combination of VMD and ELM for short term wind power forecasting

2. The main support mechanisms to finance renewable energy development

3. Wind farm power prediction based on wavelet decomposition and chaotic time series

4. An Analysis of Wind Speed Prediction Using Artificial Neural Networks: A Case Study in Manjil, Iran

5. The extreme learning machine learning algorithm with tunable activation function

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