Optimal Kernel ELM and Variational Mode Decomposition for Probabilistic PV Power Prediction

Optimal Kernel ELM and Variational Mode Decomposition for Probabilistic PV Power Prediction

A probabilistic prediction interval (PI) model based on variational mode decomposition (VMD) and a kernel extreme learning machine using the firefly algorithm (FA-KELM) is presented to tackle the problem of photovoltaic (PV) power for intra-day-ahead prediction. Firstly, considering the non-stationa...

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Bibliographic Details
Main Authors: Xiaomei Wu, Chun Sing Lai, Chenchen Bai, Loi Lei Lai, Qi Zhang, Bo Liu
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Energies
Subjects:
photovoltaic power output prediction
variational mode decomposition
firefly algorithm
kernel extreme learning machine
probabilistic prediction interval
Online Access:https://www.mdpi.com/1996-1073/13/14/3592

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https://www.mdpi.com/1996-1073/13/14/3592

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