Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sivasankari Sundaram"'
Publikováno v:
Iranica Journal of Energy and Environment, Vol 5, Iss 4 (2014)
Externí odkaz:
https://doaj.org/article/72da87c94ed140d6b8c931b86dc93925
Publikováno v:
2022 Interdisciplinary Research in Technology and Management (IRTM).
Publikováno v:
2022 Interdisciplinary Research in Technology and Management (IRTM).
Autor:
Sivasankari Sundaram
Publikováno v:
International Journal of Ambient Energy. 43:1739-1750
Prediction of performance metric for a solar power plant forms a vital role in pre-installation studies, reliability testing and the decision-making aspects for economical investment. Companies inv...
Autor:
Abhijeet Rathore, Sivasankari Sundaram
Publikováno v:
2021 Innovations in Power and Advanced Computing Technologies (i-PACT).
Autor:
Sivasankari Sundaram
Publikováno v:
2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP).
This paper presents the development of an artificial neural network model for predicting the long-term/monthly mean daily AC energy output generated by a commercialized PV power plant, with enhanced prediction accuracy. The input factors incorporated
Publikováno v:
International Journal of Electronics and Electrical Engineering. :463-473
Publikováno v:
Frontiers in Energy. 9:311-321
This paper aims to propose monthly models responsible for the theoretical evaluation of the global horizontal irradiance of a tropical region in India which is Sivagangai situated in Tamilnadu. The actual measured global horizontal irradiance hails f
Performance evaluation and validation of 5MWp grid connected solar photovoltaic plant in South India
Publikováno v:
Energy Conversion and Management. 100:429-439
The main objective of this paper is to present the validated annual performance analysis with the monitored results from a 5 MW p grid connected photovoltaic plant located in India at Sivagangai district in Tamilnadu. The total annual energy generate
Publikováno v:
Advances in Solar Photovoltaic Power Plants ISBN: 9783662505199
Accuracy in prediction of global horizontal irradiance is vitally important for photovoltaic energy prediction, its installation and pre-sizing studies. A change in the solar radiation directly impacts the electricity production and in turn, the plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8360f8fcd2a978bb02fdae22ccfadf
https://doi.org/10.1007/978-3-662-50521-2_6
https://doi.org/10.1007/978-3-662-50521-2_6