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Special Issue "Photovoltaics Lifetime Output Improvement: Advanced Monitoring, Failure Detection and Classification and Energy Forecasting"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: 15 December 2018

Special Issue Editors

Guest Editor
Prof. George E. Georghiou

FOSS Research Centre for Sustainable Energy, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
Website | E-Mail
Interests: renewable energy technologies; numerical modeling; power generation; photovoltaics; grid integration; energy conversion, smart grids
Guest Editor
Dr. George Makrides

Photovoltaic Technology Laboratory, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
Website | E-Mail
Interests: solar energy, photovoltaics, performance, degradation, failure diagnosis, grid integration, energy forecasting
Guest Editor
Dr. Marios Theristis

Photovoltaic Technology Laboratory, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
Website | E-Mail
Interests: solar energy; photovoltaics; performance; failure diagnosis; reliability; forecasting; concentrating photovoltaics

Special Issue Information

Dear Colleagues,

Advanced monitoring techniques and protocols can significantly improve and ensure the quality of operation of grid-connected photovoltaic (PV) systems, hence directly exerting a positive impact on the investment cost, levelized cost of energy (LCOE) and, in general, PV competitiveness. This can be achieved by improving the reliability and service lifetime performance through advanced monitoring, enhanced data analytic methods, early failure detection and classification, degradation rate estimation, and accurate PV production forecasting in different climates.

The aim of this Special Issue is to solicit original and high-quality research articles related to the aforementioned topics. In particular, topics of interest include, but are not limited to:

  • Advanced monitoring of grid-connected photovoltaic systems
  • Enhanced data analytic methods for PV monitoring
  • Degradation rate estimation procedures
  • Failure detection and classification techniques for grid-connected PV systems
  • Day- and hour-ahead PV production forecasting
  • Modelling of PV systems incorporating storage
  • Reliability modelling of PV systems

Prof. George E. Georghiou
Dr. George Makrides
Dr. Marios Theristis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • photovoltaic (PV)
  • PV monitoring
  • failure detection and classification
  • energy forecasting

Published Papers

This special issue is now open for submission.
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