Forecasting, Modeling, and Optimization of Photovoltaic Systems
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 (15 November 2023) | Viewed by 16851
Special Issue Editor
Interests: renewable energy; power system; economic dispatch; parameter identification; photovoltaic module; optimization; artificial intelligence; swarm intelligence; neural network; fault diagnosis
Special Issue Information
Dear Colleagues,
The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “Forecasting, Modeling, and Optimization of Photovoltaic Systems”. In the face of climate change, many countries and regions have made active efforts to restructure their energy system. For example, China set up a “30·60” plan, pledging to achieve the peak of carbon dioxide emissions by 2030 and carbon neutrality by 2060. In this context, solar energy, in particular, the technology of photovoltaic modules and systems, has become a tool to achieve carbon reduction.
Forecasting, modeling, and optimization are the fundamental problems of photovoltaic systems. In recent years, there have been many emerging technologies based on artificial intelligence, deep learning, and evolutionary computation to solve these problems. Moreover, these technologies are also interesting topics for engineering researchers. This Special Issue will deal with novel forecasting, modeling, and optimization techniques for photovoltaic systems. Topics of interest for publication include, but are not limited to, the following:
- Grid integration of photovoltaic systems;
- Forecasting methods and tools for photovoltaic systems;
- Modeling methods and tools for photovoltaic modules and systems;
- Technologies for photovoltaic maximum power point tracking;
- Fault diagnosis of photovoltaic modules and systems;
- Parameter identification of photovoltaic modules;
- Performance evaluation of photovoltaic modules and systems.
Prof. Dr. Guojiang Xiong
Guest Editor
Manuscript Submission Information
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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.
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Keywords
- renewable energy
- solar energy
- solar cell
- grid-connected PV system
- photovoltaic model
- parameter extraction
- power forecasting
- fault diagnosis
- artificial intelligence
- deep learning
- evolutionary computation
- swarm intelligence
- meta-heuristic algorithms