Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index
Joint Authors
Yao, Jianxi
Zhu, Honglu
Khan, Idris
Khan, Danish
Iqbal, Tahir
Source
International Journal of Photoenergy
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
High concentration of greenhouse gases in the atmosphere has increased dependency on photovoltaic (PV) power, but its random nature poses a challenge for system operators to precisely predict and forecast PV power.
The conventional forecasting methods were accurate for clean weather.
But when the PV plants worked under heavy haze, the radiation is negatively impacted and thus reducing PV power; therefore, to deal with haze weather, Air Quality Index (AQI) is introduced as a parameter to predict PV power.
AQI, which is an indication of how polluted the air is, has been known to have a strong correlation with power generated by the PV panels.
In this paper, a hybrid method based on the model of conventional back propagation (BP) neural network for clear weather and BP AQI model for haze weather is used to forecast PV power with conventional parameters like temperature, wind speed, humidity, solar radiation, and an extra parameter of AQI as input.
The results show that the proposed method has less error under haze condition as compared to conventional model of neural network.
American Psychological Association (APA)
Khan, Idris& Zhu, Honglu& Yao, Jianxi& Khan, Danish& Iqbal, Tahir. 2017. Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index. International Journal of Photoenergy،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1168371
Modern Language Association (MLA)
Khan, Idris…[et al.]. Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index. International Journal of Photoenergy No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1168371
American Medical Association (AMA)
Khan, Idris& Zhu, Honglu& Yao, Jianxi& Khan, Danish& Iqbal, Tahir. Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index. International Journal of Photoenergy. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1168371
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168371