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Institution

University of Cyprus

EducationNicosia, Cyprus
About: University of Cyprus is a education organization based out in Nicosia, Cyprus. It is known for research contribution in the topics: Large Hadron Collider & Standard Model. The organization has 3624 authors who have published 15157 publications receiving 412135 citations.


Papers
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Proceedings ArticleDOI
01 Dec 2012
TL;DR: This paper proposes a low-complexity iterative algorithm for DER optimal dispatch that relies, at each iteration, on simple computations using local information acquired through exchange of information with neighboring DERs.
Abstract: In this paper, we address the problem of optimally dispatching a set of distributed energy resources (DERs) without relying on a centralized decision maker. We consider a scenario where each DER can provide a certain resource (e.g., active or reactive power) at some cost (namely, quadratic in the amount of resource), with the additional constraint that the amount of resource that each DER provides is upper and lower bounded by its capacity limits. We propose a low-complexity iterative algorithm for DER optimal dispatch that relies, at each iteration, on simple computations using local information acquired through exchange of information with neighboring DERs. We show convergence of the proposed algorithm to the (unique) optimal solution of the DER dispatch problem. We also describe a wireless testbed we developed for testing the performance of the algorithms.

185 citations

Journal ArticleDOI
TL;DR: In this article, the authors presented an analysis on the total width of the recently discovered Higgs boson, Gamma[H], using its relative on-shell and off-shell production and decay rates to a pair of Z bosons, where one Z boson decays to an electron or muon pair, and the other to a neutrino pair.

185 citations

Journal ArticleDOI
TL;DR: In this article, a review of the degradation rate of photovoltaic (PV) technologies is presented, and four major statistical analysis methods are recognized for calculating degradation rates: (1) Linear Regression (LR), (2) Classical Seasonal Decomposition (CSD), (3) AutoRegressive Integrated Moving Average (ARIMA), (4) LOcally wEighted Scatterplot Smoothing (LOESS), with LR being the most common.
Abstract: This paper provides a review of methodologies for measuring the degradation rate, RD, of photovoltaic (PV) technologies, as reported in the literature. As presented in this paper, each method yields different results with varying uncertainty depending on the measuring equipment, the data qualification and filtering criteria, the performance metric and the statistical method of estimation of the trend. This imposes the risk of overestimating or underestimating the true degradation rate and, subsequently, the effective lifetime of a PV module/array/system and proves the need for defining a standardized methodology. Through a literature search, four major statistical analysis methods were recognized for calculating degradation rates: (1) Linear Regression (LR), (2) Classical Seasonal Decomposition (CSD), (3) AutoRegressive Integrated Moving Average (ARIMA) and, (4) LOcally wEighted Scatterplot Smoothing (LOESS), with LR being the most common. These analyses were applied on the following performance metrics: (1) electrical parameters from IV curves recorded under outdoor or simulated indoor conditions and corrected to STC, (2) regression models such as the Photovoltaics for Utility Scale Applications (PVUSA) and Sandia models, (3) normalized ratings such as Performance Ratio, RP, and PMPP/GI and, (4) scaled ratings such as PMPP/Pmax, PAC/Pmax and kWh/kWp. The degradation rate results have shown that the IV method produced the lowest RD and LR produced results with large variation and the largest uncertainty. The ARIMA and LOESS methods, albeit less popular, produced results with low variation and uncertainty and with good agreement between them. Most importantly, this review showed that the RD is not only technology and site dependent, but also methodology dependent.

185 citations

Journal ArticleDOI
TL;DR: In this article, an EDS analysis yielded an interdiffusivity value of 1.9μm2/s, attributed to high strain rate (∼103−s−1) plastic deformation in aluminum, which may increase the instantaneous vacancy concentration as high as ∼10−1.

184 citations

Journal ArticleDOI
TL;DR: In this article, the authors explore the relationship between downsizing and family ownership status among Fortune 500 firms and find that family businesses do downsize less irrespective of financial performance considerations, but their actions are not related to their employee- or community-friendly practices.
Abstract: While downsizing has been widely studied, its connection to firm ownership status and the reasons behind it are missing from extant research. We explore the relationship between downsizing and family ownership status among Fortune 500 firms. We␣propose that family firms downsize less than non-family firms, irrespective of performance, because their relationship with employees is based on normative commitments rather than financial performance alone. We suggest that their actions are related to employee- and community-friendly policies. We find that family businesses do downsize less irrespective of financial performance considerations. However, their actions are not related to their employee- or community-friendly practices. The results raise issues related to the motivations of large multinationals to␣downsize and the drivers of their stakeholder management practices.

183 citations


Authors

Showing all 3715 results

NameH-indexPapersCitations
Luca Lista1402044110645
Peter Wittich1391646102731
Stefano Giagu1391651101569
Norbert Perrimon13861073505
Pierluigi Paolucci1381965105050
Kreso Kadija135127095988
Daniel Thomas13484684224
Julia Thom132144192288
Alberto Aloisio131135687979
Panos A Razis130128790704
Jehad Mousa130122686564
Alexandros Attikis128113677259
Fotios Ptochos128103681425
Charalambos Nicolaou128115283886
Halil Saka128113777106
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
2022126
20211,224
20201,200
20191,044
20181,009