Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Sumit Saroha"'
Publikováno v:
International Journal of Renewable Energy Development, Vol 11, Iss 3, Pp 736-750 (2022)
An accurate short-term solar irradiation forecasting is requiredregarding smart grid stability and to conduct bilateral contract negotiations between suppliers and customers. Traditional machine learning models are unable to acquire and to rectify no
Externí odkaz:
https://doaj.org/article/a9c8481306fc43dbb4830c306315441f
Autor:
M. Syed Ali, M. Hymavathi, Grienggrai Rajchakit, Sumit Saroha, L. Palanisamy, Porpattama Hammachukiattikul
Publikováno v:
IEEE Access, Vol 8, Pp 186551-186571 (2020)
In this article synchronization of fractional order fuzzy BAM neural networks with time varying delays and reaction diffusion terms is studied. The time varying delays consist of discrete delays and distributed delays are considered. Then, some suffi
Externí odkaz:
https://doaj.org/article/c620fdd85edb47dd9bd1fa0091a6d126
Autor:
Sumit Saroha, S. K. Aggarwal
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 4, Iss 2, Pp 197-209 (2018)
With an objective to improve wind power estimation accuracy and reliability, this paper presents Linear Neural Networks with Tapped Delay (LNNTD) in combination with wavelet transform (WT) for probabilistic wind power forecasting in a time series fra
Externí odkaz:
https://doaj.org/article/8cf07451999247ee831e0b566d41a158
Publikováno v:
Energies, Vol 14, Iss 19, p 6065 (2021)
In order to analyze the nature of electrical demand series in deregulated electricity markets, various forecasting tools have been used. All these forecasting models have been developed to improve the accuracy of the reliability of the model. Therefo
Externí odkaz:
https://doaj.org/article/abf0942629ac4134b38e2929ca0071ed
Publikováno v:
Cybernetics and Systems. :1-25
Publikováno v:
International Journal of Green Energy. :1-13
Publikováno v:
Distributed Generation & Alternative Energy Journal.
An accurate and efficient forecasting of solar energy is necessary for managing the electricity generation and distribution in today’s electricity supply system. However, due to its random character in its time series, accurate forecasting of solar
Publikováno v:
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 44:1583-1607
Publikováno v:
Arabian Journal for Science and Engineering. 47:14185-14211
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 35:275-288