An optimum forceful generation scheduling and unit commitment of thermal power system using sine cosine algorithm-Reference-Cited by-同舟云学术

An optimum forceful generation scheduling and unit commitment of thermal power system using sine cosine algorithm

Published:2019-11-18 Issue:7 Volume:32 Page:2785-2814
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Bhadoria Ashutosh,Marwaha Sanjay,Kamboj Vikram Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04598-8.pdf

Reference95 articles.

1. Sheble GB, Fahd GN (1994) Unit commitment literature synopsis. IEEE Trans Power Syst 9(1):128–135

2. Baldwin CJ, Dale KM, Dittrich RF (1959) A study of the economic shutdown of generating units in daily dispatch. Trans Am Inst Electr Eng Part III Power Appar Syst 78(4):1272–1282

3. Deb K (2001) Multi-objective optimization using evolutionary algorithms, vol 16. Wiley

4. Dhillon JS, Kothari DP (2010) Power system optimization. Preintce Hall India Priv. Ltd., New Delhi

5. Wood AJ, Wollenberg BF, Sheblé GB (2013) Power generation, operation, and control. Wiley

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