A Photovoltaic Power Prediction Method Based on AFSA-BP Neural Network

A Photovoltaic Power Prediction Method Based on AFSA-BP Neural Network

In order to improve the prediction accuracy of photovoltaic output power， this paper proposes a prediction method using AFSA （artificial fish swarm algorithm） to optimize BP （back-propagation） neural network. Based on the cleaned data， the paper takes highly correlative meteorological data as input，...

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Bibliographic Details
Main Authors: CHEN Wenjin, ZHU Feng, ZHANG Tongyan, ZHANG Jun, ZHANG Fengming, XIE Dong, RU Wei, SONG Meiya, FAN Qiang
Format: Article
Language:zho
Published: zhejiang electric power 2022-04-01
Series:Zhejiang dianli
Subjects:
afsa
bp neural network
photovoltaic power generation
power prediction
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=4d1ab761-adb3-421b-ba0b-6e8da98c78e3

Internet

https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=4d1ab761-adb3-421b-ba0b-6e8da98c78e3

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