Ultra-short-term PV power forecasting based on a support vector machine with improved dragonfly algorithm

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Ultra-short-term PV power forecasting based on a support vector machine with improved dragonfly algorithm

Photo-voltaic (PV) is one of the most abundant sources on the earth for the generation of electricity. Although, due to the stochastic nature of PV characteristics to sustain constant power, an accurate PV power prediction is needed for a grid-connected PV system. The proposed model of support vecto...

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Bibliographic Details
Main Authors:	Kishore, D. J. Krishna, Mohamed, M. R., Sudhakar, K., Jewaliddin, S. K., Peddakapu, K., Srinivasarao, P.
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2021
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/37280/ http://umpir.ump.edu.my/id/eprint/37280/1/Ultra-short-term%20PV%20power%20forecasting%20based%20on%20a%20support%20vector%20machine%20.pdf http://umpir.ump.edu.my/id/eprint/37280/2/Ultra-short-term%20PV%20power%20forecasting.pdf

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