Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Prachitara Satapathy"'
Autor:
Prachitara Satapathy, Sabita Chaine, Shaktinarayana Mishra, Lokanath Tripathy, P.K Dash, Sumant Kumar Dalai
Publikováno v:
2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON).
An Optimized Polynomial Perceptron Network based Adaptive Filter for Non-linear Active Noise Control
Publikováno v:
2022 2nd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON).
Publikováno v:
Electrical Engineering. 102:2193-2210
This paper presents a new adaptive water cycle algorithm (AWCA) to optimize the controllers operation in a multiple distributed generators (DGs)-based microgrid. The inconsistent nature of renewable-based DG creates several challenges to stability ma
Autor:
Shaktinarayana Mishra, Shibani Prasad Mohapatra, Prachitara Satapathy, Lokanath Tripathy, Sabita Chaine, Chandra Sekhar Tripathy
Publikováno v:
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT).
Publikováno v:
2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE).
Solar based electricity generations have experienced a strong and impactful growth in the recent years. The regulation, scheduling, dispatching and unit commitment of intermittent solar power is dependent on the accuracy of the forecasting methods. I
Publikováno v:
International Transactions on Electrical Energy Systems. 30
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811523045
This paper presents mutation volatilization-based water cycle algorithm (MVWCA) to improve the performance of a photovoltaic (PV)-based microgrid system by optimizing different regulators gain parameters during grid normal and uncertain situation. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c23a3455b65f51f063c18e2239b9a51f
https://doi.org/10.1007/978-981-15-2305-2_49
https://doi.org/10.1007/978-981-15-2305-2_49
Publikováno v:
Applied Soft Computing. 70:1167-1188
This paper presents an efficient non-iterative hybrid empirical mode decomposition (EMD) and kernel ridge regression (KRR) for significantly accurate short-term wind speed and wind power prediction. The original non-linear and non-stationary wind spe
Publikováno v:
ICIT
Now-a-days, most of the techniques applied to indentify the non-linear system are based on machine intelligence. In this work, a new Varitional Mode Decomposition based Extreme Learning Machine (VMD-ELM) is proposed to identify various non-linear sys