Application of an adaptive Bayesian‐based model for probabilistic and deterministic PV forecasting
Abstract Accurate prediction of solar photovoltaic plant energy generation is essential for optimal planning and operation of modern power systems, and incorporating such plants into the energy sector. In this study, an adaptive Gaussian mixture method (AGM) and a developed variational Bayesian mode...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-09-01
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Series: | IET Renewable Power Generation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rpg2.12194 |