Evaluating combination models of solar irradiance on inclined surfaces and forecasting photovoltaic power generation

Evaluating combination models of solar irradiance on inclined surfaces and forecasting photovoltaic power generation

The traditional photovoltaic (PV) forecasting method depends on sufficient historical data (PV power station historical power generation data and numerical weather prediction meteorological data), which is not suitable for a newly built PV power plant. In order to calculate the PV array irradiance a...

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Bibliographic Details
Main Authors: Chenggang Cui, Yuhang Zou, Liaoliao Wei, Yadong Wang
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:IET Smart Grid
Subjects:
solar radiation
load forecasting
solar cells
power engineering computing
photovoltaic power systems
building integrated photovoltaics
weather forecasting
inclined surfaces
forecasting photovoltaic power generation
traditional photovoltaic forecasting method
sufficient historical data
PV power station historical power generation data
numerical weather prediction meteorological data
newly built PV power plant
PV array irradiance
physical prediction approach
solar irradiance
decomposition models
transposition models
12 combination forecasting models
solar spectral response
modified model
Liu–Jordan transposition model
higher forecasting accuracy
Erbs + Liu–Jordan model predictions
evaluating combination models
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0110

Internet

https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0110

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