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A. Testa
Researcher at Seconda Università degli Studi di Napoli
Publications - 55
Citations - 1981
A. Testa is an academic researcher from Seconda Università degli Studi di Napoli. The author has contributed to research in topics: Total harmonic distortion & Harmonic. The author has an hindex of 24, co-authored 50 publications receiving 1832 citations. Previous affiliations of A. Testa include University of Naples Federico II & Brno University of Technology.
Papers
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Journal ArticleDOI
Interharmonics: Theory and Modeling
A. Testa,M.F. Akram,R. Burch,Guido Carpinelli,Gary W. Chang,Venkata Dinavahi,Constantine J. Hatziadoniu,W.M. Grady,E. Gunther,Mark Halpin,Peter W. Lehn,Y. Liu,Roberto Langella,M. Lowenstein,Aurelio Medina,T.H. Ortmeyer,Satish J. Ranade,Paulo F. Ribeiro,Neville R. Watson,J. Wikston,Wilsun Xu +20 more
TL;DR: In this paper, the most remarkable issues related to interharmonic theory and modeling are presented, starting from the basic definitions and concepts, attention is first devoted to inter-harmonic sources, and then the interharmonics assessment is considered with particular attention to the problem of the frequency resolution and of the computational burden associated with the analysis of periodic steady-state waveforms.
Journal ArticleDOI
On the Processing of harmonics and interharmonics: using Hanning window in standard framework
TL;DR: In this article, the spectral leakage problems due to synchronization errors of the analyzed waveforms with the window widths adopted are analyzed and improvements of the signal processing recommended by the IEC, based on the utilization of the classical Hanning window in place of the rectangular window, are proposed and made compatible with the grouping technique introduced in the standards.
StandardDOI
IEEE Recommended Practice— Adoption of IEC 61000-4-15:2010, Electromagnetic compatibility (EMC)—Testing and measurement techniques—Flickermeter— Functional and design specifications
R Langella,A. Testa,Et Alii +2 more
Journal ArticleDOI
Markov chain modeling for very-short-term wind power forecasting
TL;DR: In this article, a wind power forecasting method based on the use of discrete time Markov chain models is developed starting from real wind power time series data, which allows to directly obtain in an easy way an estimate of the wind power distributions on a very short-term horizon, without requiring restrictive assumptions on wind power probability distribution.
Journal ArticleDOI
Desynchronized Processing technique for Harmonic and interharmonic analysis
TL;DR: A new desynchronized processing technique for harmonic and interharmonic analysis that has general validity and results fully compatible with the IEC standard is presented and is as accurate as those of synchronized techniques.