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Energies
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Review and Applications of Photovoltaic Power Forecasting
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Review and Applications of Photovoltaic Power Forecasting

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A2: Solar Energy and Photovoltaic Systems".

Deadline for manuscript submissions: closed (25 October 2023) | Viewed by 2789

Special Issue Editors

Dr. Spyros Theocharides

E-Mail Website
Guest Editor
PV Technology Laboratory, FOSS Research Center for Sustainable Energy, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
Interests: solar energy; photovoltaics; power forecasting; artificial neural networks; machine learning
Dr. George Makrides

E-Mail Website
Guest Editor
PV Technology Laboratory, FOSS Research Center for Sustainable Energy, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
Interests: photovoltaics; microgrids; predictive maintenance; data quality; nanogrids; storage systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. George E. Georghiou

E-Mail Website
Guest Editor
FOSS Research Centre for Sustainable Energy, PV Technology Laboratory, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 1678, Cyprus
Interests: photovoltaics; microgrids; predictive maintenance; data quality; nanogrids; storage systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

I am writing to invite you to contribute to a Special Issue of our journal, Review and Applications of Photovoltaic Power Forecasting. The special issue will focus on recent advances in photovoltaic power forecasting and their applications.

We believe that your research in this field would make an excellent contribution to the Special Issue, and we would be honoured if you would consider submitting a paper.

Energies is a highly respected publication in the field of renewable energy, with a strong focus on photovoltaic power generation. Our aim is to publish high-quality research that advances the state of the art in this important area, and we are confident that your work will be of great interest to our readers.

We are particularly interested in papers that address one or more of the following topics:

  • New forecasting methods for photovoltaic power generation;
  • Applications of photovoltaic power forecasting in energy management systems;
  • Evaluation of the performance of existing photovoltaic power forecasting methods;
  • Case studies of photovoltaic power forecasting in real-world applications;
  • Reviews of existing power photovoltaic generation methods.

If you are interested in submitting a paper for the Special Issue, please visit our journal website for further information on submission guidelines and deadlines. We look forward to hearing from you and hope that you will consider contributing to this important and timely issue.

Dr. Spyros Theocharides
Dr. George Makrides
Prof. Dr. George E. Georghiou
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 submissions that pass pre-check are 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 semimonthly 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 2600 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
  • forecasting
  • generation
  • machine learning
  • intraday
  • day-ahead

Published Papers (3 papers)

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Research

13 pages, 1896 KiB  
Article
New Feature Selection Approach for Photovoltaïc Power Forecasting Using KCDE
by Jérémy Macaire, Sara Zermani and Laurent Linguet
Energies 2023, 16(19), 6842; https://doi.org/10.3390/en16196842 - 27 Sep 2023
Viewed by 628
Abstract
Feature selection helps improve the accuracy and computational time of solar forecasting. However, FS is often passed by or conducted with methods that do not suit the solar forecasting issue, such as filter or linear methods. In this study, we propose a wrapper [...] Read more.
Feature selection helps improve the accuracy and computational time of solar forecasting. However, FS is often passed by or conducted with methods that do not suit the solar forecasting issue, such as filter or linear methods. In this study, we propose a wrapper method termed Sequential Forward Selection (SFS), with a Kernel Conditional Density Estimator (KCDE) named SFS-KCDE, as FS to forecast day-ahead regional PV power production in French Guiana. This method was compared to three other FS methods used in earlier studies: the Pearson correlation method, the RReliefF (RRF) method, and SFS using a linear regression. It has been shown that SFS-KCDE outperforms other FS methods, particularly for overcast sky conditions. Moreover, Wrapper methods show better forecasting performance than filter methods and should be used. Full article
(This article belongs to the Special Issue Review and Applications of Photovoltaic Power Forecasting)
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18 pages, 3173 KiB  
Article
Photovoltaic Spectral Responsivity and Efficiency under Different Aerosol Conditions
by Dimitra Kouklaki, Stelios Kazadzis, Ioannis-Panagiotis Raptis, Kyriakoula Papachristopoulou, Ilias Fountoulakis and Kostas Eleftheratos
Energies 2023, 16(18), 6644; https://doi.org/10.3390/en16186644 - 15 Sep 2023
Viewed by 814
Abstract
While solar power applications are growing rapidly worldwide, information about solar energy availability, its characteristics and the factors that affect it are essential. Among other parameters, a reference spectrum (ASTMG-173-03) is adopted, relying on Standard Test Conditions (STC), under which Photovoltaic (PV) devices [...] Read more.
While solar power applications are growing rapidly worldwide, information about solar energy availability, its characteristics and the factors that affect it are essential. Among other parameters, a reference spectrum (ASTMG-173-03) is adopted, relying on Standard Test Conditions (STC), under which Photovoltaic (PV) devices are evaluated. However, these rigorously defined conditions can vary considerably from realistic environmental conditions. The objective of the present work is to assess the impact of the variability of atmospheric composition on the spectral distribution of the incident solar spectral irradiance (SSI) and, therefore, its implication on various PV materials performance. Ground-based measurements of global horizontal SSI have been conducted using a Precision Spectroradiometer (PSR) in the framework of the ASPIRE (Atmospheric parameters affecting SPectral solar IRradiance and solar Energy) project in Athens, Greece. The gathered data in combination with spectrally resolved radiative transfer under clear-sky conditions contributed to the investigation of the atmospheric variables that attenuate irradiance (e.g., aerosols). In addition, since PV modules’ spectral absorptivity differs according to the semiconductor material used, the impact of the above-mentioned spectral features on PV performance has been investigated in order to estimate the spectral impact between the theoretical and outdoor conditions on the yield of different PV technologies. Overall, the results denote that smoke has a more significant effect than dust, while the effect on various technologies varies. The highest deviation compared to the STC was observed in the case of a-Si, reaching an absolute difference of 45% in the case of smoke particles in the atmosphere, while the maximum deviation between the different technologies reached approximately 7%. Full article
(This article belongs to the Special Issue Review and Applications of Photovoltaic Power Forecasting)
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19 pages, 5158 KiB  
Article
Evaluation of the Solar Energy Nowcasting System (SENSE) during a 12-Months Intensive Measurement Campaign in Athens, Greece
by Ioannis-Panagiotis Raptis, Stelios Kazadzis, Ilias Fountoulakis, Kyriakoula Papachristopoulou, Dimitra Kouklaki, Basil E. Psiloglou, Andreas Kazantzidis, Charilaos Benetatos, Nikolaos Papadimitriou and Kostas Eleftheratos
Energies 2023, 16(14), 5361; https://doi.org/10.3390/en16145361 - 14 Jul 2023
Cited by 2 | Viewed by 757
Abstract
Energy nowcasting is a valuable asset in managing energy loads and having real-time information on solar irradiation availability. In this study, we evaluate the spectrally integrated outputs of the SENSE system for solar irradiance nowcasting for the period of the ASPIRE (atmospheric parameters [...] Read more.
Energy nowcasting is a valuable asset in managing energy loads and having real-time information on solar irradiation availability. In this study, we evaluate the spectrally integrated outputs of the SENSE system for solar irradiance nowcasting for the period of the ASPIRE (atmospheric parameters affecting spectral solar irradiance and solar energy) campaign (December 2020–December 2021) held in Athens, Greece. For the needs of the campaign, several ground-based instruments were operating, including two pyranometers, a pyrheliometer, a cloud camera, a CIMEL sunphotometer, and a precision spectral radiometer (PSR). Global horizontal irradiance (GHI) estimations were more accurate than direct normal irradiance (DNI). SENSE estimations are provided every 15 min, but when comparing bigger time intervals (hours-days), the statistics improved. A dedicated assessment of the SENSE’s inputs is performed in respect to ground-based retrievals, considering cloud conditions (from a sky imager), AOD, and precipitable water vapor from AERONET. The factor that established the larger errors was the visibility of the solar disc, which cannot be defined by the available sources of model inputs. Additionally, there were discrepancies between the satellite estimation of the clouds and the ground picture, which caused deviations in results. AOD differences affected more the DNI. Full article
(This article belongs to the Special Issue Review and Applications of Photovoltaic Power Forecasting)
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