Wind Power Estimation Using Artificial Neural Network-Reference-Cited by-同舟云学术

Wind Power Estimation Using Artificial Neural Network

Published:2007-03 Issue:1 Volume:133 Page:46-52
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Singh Shikha¹²³,Bhatti T. S.¹²³,Kothari D. P.¹²³

Affiliation:

1. Research Scholar, Centre for Energy Studies, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India (corresponding author). E-mail: acmezenith@rediffmail.com

2. PSO, Centre for Energy Studies, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India. E-mail: tsb@ces.iitd.ernet.in

3. Professor, Centre for Energy Studies, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India. E-mail: dkothari@ces.iitd.ernet.in

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9402%282007%29133%3A1%2846%29

Reference18 articles.

1. American Wind Energy Association (AWEA). (1998). “Standard performance testing of wind energy conversion systems.” AWEA Standard 1.1 .

2. Blank T. (1990). “The MasPar MP-1 architecture.” Proc. IEEE CompCon.

3. Feldkamp L. A. and Puskorius G. V. (1994). “Training controller for robustness: Multi-stream DEKF.” IEEE Int. Conf. on Neural Network 2377–2382.

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