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Design of Instruction Analyzer with Semantic-Based Loop Unrolling Mechanism in the Hyperscalar Architecture Read chapter Read first chapter

2019 | OriginalPaper | Chapter

An Enhanced Pre-processing and Nonlinear Regression Based Approach for Failure Detection of PV System

Authors : Chung-Chian Hsu, Jia-Long Li, Arthur Chang, Yu-Sheng Chen

Published in: New Trends in Computer Technologies and Applications

Publisher: Springer Singapore

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Abstract

The solar energy is getting popular due to the awareness of the environmental issues. Multiple module strings are set up in a solar-power plant to increase power production which is sold to electricity company via connected grid. Inevitably, devices can break, leading to loss of power production. To minimize the loss, it is important to be able to detect faulty devices as soon as possible for maintenance. In this paper, an approach relying on careful data pre-processing is proposed and compares with an existing approach.

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Metadata
Title
An Enhanced Pre-processing and Nonlinear Regression Based Approach for Failure Detection of PV System
Authors
Chung-Chian Hsu
Jia-Long Li
Arthur Chang
Yu-Sheng Chen
Copyright Year
2019
Publisher
Springer Singapore
Book
New Trends in Computer Technologies and Applications

Print ISBN: 978-981-13-9189-7

Electronic ISBN: 978-981-13-9190-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-9190-3_27

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