Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sangita Rani Kar"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100555- (2024)
This paper develops the Gaussian Mutation Based Teaching-Learning Optimization (GMBTLO) to solve different reactive power dispatch problems. In GMBTLO, Gaussian random variables are instituted, which includes both the ‘Teacher phase’ as well as
Externí odkaz:
https://doaj.org/article/6c14b01b21174f47b0f7db55a1d8fcbf
Autor:
Sudhir Anakal, Sangita Rani Kar, A. Sangeetha, Sritha P, Dekka Satish, Sajitha. L. P, A. Rajendra Prasad
Publikováno v:
2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM).
Autor:
Kondireddy Muni Sankar, B. Booba, C Rangaswamy, P. V. Pramila, Sangita Rani Kar, Ashok Kumar, M. Sudhakar
Publikováno v:
2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM).
Publikováno v:
2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC).
Multi Area Combined Heat and Power Economic Emission Dispatch (MACHPEED) has become one of the significant tasks for proper operation and planning of a power system. In this paper, valve point effect as well as limited effective area of smooth-runnin