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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Main Authors: | Kishore, D. J. Krishna, Mohamed, M. R., Sudhakar, K., Jewaliddin, S. K., Peddakapu, K., Srinivasarao, P. |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
IEEE
2021
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Subjects: | |
Online Access: | 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 http://umpir.ump.edu.my/id/eprint/37280/ https://doi.org/ 10.1109/ETI4.051663.2021.9619323 |
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