Forecasting of Photovoltaic Power Generation and Model Optimization
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: 24 September 2024 | Viewed by 854
Special Issue Editors
Interests: photovoltaic and wind power systems
Special Issues, Collections and Topics in MDPI journals
Interests: renewable energy technologies; electrical power engineering; power systems analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue focused on "Forecasting of Photovoltaic Power Generation and Model Optimization." In today's rapidly evolving energy landscape, photovoltaic (PV) power generation has emerged as a key player in renewable energy sources. The widespread adoption of PV systems, ranging from small-scale residential installations to large solar farms, necessitates accurate forecasting techniques to ensure optimal integration and utilization in the power grid.
This Special Issue aims to showcase the latest advancements in PV power generation forecasting methodologies and model optimization techniques. As PV systems are influenced by various factors such as weather conditions, solar irradiance, temperature, and other dynamic variables, the development of robust forecasting models becomes paramount. Additionally, with an ever-increasing focus on efficiency and sustainability, optimizing PV system models has become crucial for enhancing performance and maximizing energy output.
Topics of interest for publication include, but are not limited to:
- Novel forecasting approaches for PV power generation;
- Data-driven forecasting techniques;
- Machine learning and artificial intelligence for PV forecasting;
- Hybrid forecasting models combining statistical and machine learning methods;
- Forecasting uncertainty quantification and risk assessment;
- Spatial and temporal forecasting of PV generation;
- Integration of weather data and climate models in forecasting;
- Model optimization for improving PV system efficiency;
- Real-time forecasting and control strategies;
- Integration of energy storage for enhanced PV power dispatch;
- Forecasting for PV microgrid and off-grid systems;
- Forecasting applications in energy trading and market operations;
- Case studies and practical implementations of forecasting and model optimization.
We invite researchers, engineers, and practitioners to contribute their original research articles, review papers, and technical notes to this Special Issue. By bringing together diverse perspectives and cutting-edge research, we aim to foster innovation and collaboration in the domain of PV power generation forecasting and model optimization. We believe that this collection of research will significantly advance the field, facilitating the seamless integration of photovoltaic systems into the global energy landscape.
We look forward to your valuable contributions to this Special Issue.
Prof. Dr. Filippo Spertino
Prof. Dr. Paolo Di Leo
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 power generation
- renewable energy
- solar energy forecasting
- model optimization
- predictive modeling
- weather data
- machine learning
- data-driven models
- uncertainty quantification
- energy optimization
- weather modeling
- forecasting accuracy
