NDLI: Daily prediction of solar power generation based on weather forecast information in Korea

Content Provider	IET Digital Library
Author	Kim, Jae Gon Kim, Dong Hyuk Yoo, Woo Sik Lee, Joung Yun Kim, Yong Bae
Abstract	Solar panel photovoltaic (PV) systems are widely used in Korea to generate solar energy, which is one of the most promising renewable energy sources. With regard to solar electricity providers and a grid operator, it is critical to accurately predict solar power generation for supply–demand planning in an electrical grid, which directly affects their profit. This prediction is, however, a challenging task because solar power generation is weather dependent and uncontrollable. In this study, a daily prediction model based on the weather forecast information for solar power generation is proposed. In the case of the proposed model, the cloud and temperature data available from the weather forecast information is used to predict the amount of solar radiation as well as a loss adjustment factor to reflect the possible loss of power generation due to the degradation or failure of the PV module. Using the proposed model, solar power generation for the following day can be predicted. The proposed model is embedded into a solar PV monitoring system that is commercially used in Korea, and it is shown to perform better than the existing prediction models.
Starting Page	1268
Ending Page	1273
Page Count	6
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 10, Aug (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0698
Journal	IET Renewable Power Generation
Publisher Date	2017-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cloud Data Daily Prediction Model Electrical Grid Korea Photovoltaic Power System Power Generation Planning Power Grid Power System Planning And Layout PV Module Renewable Energy Source Renewable Portfolio Standard Solar Energy Generation Solar Panel Photovoltaic System Solar Power Generation Solar Power Stations Solar PV Monitoring System Solar Radiation Supply And Demand Supply-demand Planning Temperature Data Weather Forecast Information Weather Forecasting
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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