Power quality techniques research worldwide: A review

Abstract:The present study details the significant contribution that different international institutions have made to the field of sustainability and energy efficiency, with a focus on public buildings. This has been achieved by making use of the database Scopus, by applying bibliometric techniques and by analyzing the contents of articles published from 1976 to 2016. All the materials included in the analysis have been reported from Scopus. Several key aspects of the publications have been considered such as document type, language, subject area, journal type and keywords. Sustainable Development, Sustainability, Energy Conservation, Energy Efficiency and Buildings have been verified as the most used keywords. The obtained contributions have been classified geographically and by institution, with the United States, the United Kingdom, China, Australia and Italy being the leading research countries and Hong Kong Polytechnic University, Delft University of Technology and Tsinghua University the top contributing institutions. The most active categories in those fields are engineering, social sciences and environmental issues in that order. It can be assumed that the study of sustainability and energy efficiency across all its dimensions is of great interest for the scientific community. The global environmental issue has led many countries to incorporate a wide range of Energy Efficiency (EE) strategies in order to reduce energy consumption in public buildings, a highly valued aspect by European Union energy labelling.

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“…The search scope was from 1976 to 2016. Other analyses show the success of this methodology [34,35].…”

Section: Methodsmentioning

confidence: 92%

Worldwide Research on Energy Efficiency and Sustainability in Public Buildings

et al. 2017

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“…In a recent study [9], the authors analysed keywords related to power quality by directly using the Scopus search engine. They found that, apart from the term 'power quality', some keywords repeatedly appeared among the articles, such as 'harmonics', 'interharmonics', 'active filter', and 'voltage sag'.…”

Section: Trending Topics In Power Quality Researchmentioning

confidence: 99%

“…Several studies, including review articles, related to power quality can be found in the literature [9]. However, none of them have addressed in detail the topics in power quality that attract more attention and the characteristics of the collaboration networks among researchers in this field.…”

Section: Introductionmentioning

confidence: 99%

Power Quality: Scientific Collaboration Networks and Research Trends

et al. 2018

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Power quality is a research field related to the proper operation of devices and technological equipment in industry, service, and domestic activities. The level of power quality is determined by variations in voltage, frequency, and waveforms with respect to reference values. These variations correspond to different types of disturbances, including power fluctuations, interruptions, and transients. Several studies have been focused on analysing power quality issues. However, there is a lack of studies on the analysis of both the trending topics and the scientific collaboration network underlying the field of power quality. To address these aspects, an advanced model is used to retrieve data from publications related to power quality and analyse this information using a graph visualisation software and statistical tools. The results suggest that research interests are mainly focused on the analysis of power quality problems and mitigation techniques. Furthermore, they are observed important collaboration networks between researchers within and across countries.

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“…Literatürde Bilgi Kazancı, Ki-Kare, ReliefF, F-Skor gibi filtreleme yöntemleri ile Sıralı İleri Seçim (SİS), Sıralı Geri Seçim (SGS), Genetik Algoritma (GA), Parçacık Sürü Optimizasyonu (PSO), Karınca Koloni Optimizasyonu (KKO) gibi sarmalama tabanlı öznitelik seçme yöntemleri bulunmaktadır [5][6][7]. Karar Ağaçları (KA), Naive Bayes (NB), k-En Yakın Komşu (k-EYK), Destek Vektör Makineleri (DVM), Yapay Sinir Ağları (YSA) [18], Hibrid ve Kolektif Öğrenme yaklaşımları gibi sınıflandırma yöntemleri mevcuttur [8,9]. Literatürde GK bozulmalarını temsil eden özniteliklerin çıkartılması aşamasında bir boyutlu sinyal işleme yöntemleri kullanılmaktadır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Güç Kalitesi Bozulmalarının 2 Boyutlu Ayrık Dalgacık Dönüşümü ve Torbalama Karar Ağaçları Yöntemi ile Sınıflandırılması

Karasu¹,

Saraç²

2018

Journal of Polytechnic

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Power quality techniques research worldwide: A review

Cited by 68 publications

References 46 publications

Worldwide Research on Energy Efficiency and Sustainability in Public Buildings

Worldwide Research on Energy Efficiency and Sustainability in Public Buildings

Power Quality: Scientific Collaboration Networks and Research Trends

Güç Kalitesi Bozulmalarının 2 Boyutlu Ayrık Dalgacık Dönüşümü ve Torbalama Karar Ağaçları Yöntemi ile Sınıflandırılması

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