Prediction of AC power output in grid-connected photovoltaic system using Artificial Neural Network with multi-variable inputs

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Prediction of AC power output in grid-connected photovoltaic system using Artificial Neural Network with multi-variable inputs

This paper presents Artificial Neural Network (ANN) technique for predicting the output power from Grid-Connected Photovoltaic (GCPV) system. Different inputs are utilized in several models of ANN in order to obtain the output power. ANN parameters are chosen using trial-and-error method to find the...

书目详细资料
发表在:	Proceedings - 2016 IEEE Conference on Systems, Process and Control, ICSPC 2016
主要作者:	2-s2.0-85019976825
格式:	Conference paper
语言:	English
出版:	Institute of Electrical and Electronics Engineers Inc. 2017
在线阅读:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019976825&doi=10.1109%2fSPC.2016.7920728&partnerID=40&md5=81a26452858fff8c13cf93a4afe0696a

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