An intelligent power management system with active learning prediction engine for pv grid-tied systems

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An intelligent power management system with active learning prediction engine for pv grid-tied systems

An incremental unsupervised neural network algorithm namely time-series self organizing incremental neural network (TS-SOINN) is developed to predict the photovoltaic output power for power fluctuation events detection in photovoltaic micro-grid system. The TS-SOINN is an unsupervised clustering alg...

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Bibliographic Details
Main Author:	Kow, Ken Weng
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Subjects:	photovoltaic power management system power fluctuation energy storage system engine
Online Access:	https://eprints.nottingham.ac.uk/59037/

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