An Improved Photovoltaic Power Generation Forecast Model Based on NARX Neural Network

Author:

Huang Youliang1,Tao Wenzheng1,Ye Daoxing2,Liao Gonglei3

Affiliation:

1. Guangzhou University,Guangzhou,China

2. Xihua University,Chengdu,China

3. Sichuan Provincial Machinery Research & Design Institute,Chengdu,China

Funder

Science and Technology Department of Sichuan Province, China

Publisher

IEEE

Reference16 articles.

1. Forecasting of photovoltaic power by means of non-linear auto-regressive exogenous artificial neural network and time series analysis;louzazni;Electronics,2021

2. An islanding detection method for photovoltaic power generation system using fluctuation characteristic of pcc harmonic voltage;yun;Advanced Materials Research,2014

3. Implementation of kolmogorov learning algorithm for feedforward neural networks;neruda;International Conference on Computational Science,2001

4. A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling

5. Discussion on the limitation and improvement of bp neural network;yu;J SHANXI AGRIC UNIV (Natural Science Edition),2009

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