NDLI: Improved convolutional neural network-based quantile regression for regional photovoltaic generation probabilistic forecast

Content Provider	IET Digital Library
Author	Yu, Yixiao Wang, Mengxia Yan, Fangqing Yang, Ming Yang, Jiajun
Abstract	Nowadays, an increasing number of photovoltaic (PV) plants are becoming integrated into one regional power grid. Under this circumstance, the probabilistic forecast of regional PV power generation is of significance for the regional power system operation and control. This study presents a novel probabilistic forecast method for regional PV generation that integrates the convolutional neural network (CNN) with non-linear quantile regression (QR). In this method, the CNN structure is enhanced to extract the non-linear features of the input data and generate the non-linear QR function. As a result, the improved CNN can effectively process high-dimensional and complex input data and the non-linear QR model can provide quantile forecast information of regional PV power. The validity of the proposed method is verified by using it to forecast the regional PV generation from the clustered PV plants in the Weifang region of China.
Starting Page	2712
Ending Page	2719
Page Count	8
ISSN	17521416
Volume Number	14
e-ISSN	17521424
Issue Number	Issue 14, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.0949
Journal	IET Renewable Power Generation
Publisher Date	2020-08-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Clustered PV Plants Complex Input Data Convolutional Neural Network-based Quantile Regression High-dimensional Input Data Improved CNN Load Forecasting Neural Computing Technique Neural Nets Nonlinear Feature Nonlinear QR Function Nonlinear QR Model Nonlinear Quantile Regression Photovoltaic Plant Photovoltaic Power System Power Grid Power System Planning And Layout Probabilistic Forecast Method Quantile Forecast Information Regional Photovoltaic Generation Probabilistic Forecast Regional Power Grid Regional Power System Operation Regional PV Generation Regional PV Power Generation Regression Analysis Solar Power Stations Statistics
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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