Solar and Wind Power and Energy Forecasting Ⅱ
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "L: Energy Sources".
Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 15892
Special Issue Editors
Interests: photovoltaic system; grid; power sharing; inverters; forecasting; nowcasting; machine learning; degradation; battery management systems; polymer solar cells; organic photovoltaics; electric vehicle; vehicle-to-grid; microgrid; energy systems; maximum power point trackers; electric power plant loads; electricity price; power markets; heterogeneous networks; base stations; energy efficiency; life cycle assessment; wind power; regenerative braking; bicycles; motorcycles; car sharing; autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: photovoltaics; PV power forecasting; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computation techniques; neural networks; optimization of EM devices; reflectarray antennas; electrical microgrid
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue “Solar and Wind Power and Energy Forecasting Ⅱ” is a continuation of the previous and successful Special Issue “Solar and Wind Power and Energy Forecasting”. Prof. Dr. Sonia Leva, Dr. Emanuele Ogliari and Dr. Alessandro Niccolai (Politecnico di Milano, Milano, Italy) are serving as Guest Editors for this issue. We think that you could make an excellent contribution based on your expertise.
The renewable-energy-based generation of electricity is currently experiencing rapid growth in electric grids. The intermittent input from renewable energy sources (RES), as a consequence, creates problems in balancing the energy supply and demand.
Thus, forecasting of RES power generation is vital to help grid operators to better manage the electric balance between power demand and supply and to improve the penetration of distributed renewable energy sources and, in stand-alone hybrid systems, for the optimum size of all its components and to improve the reliability of the isolated systems.
This Special Issue of Energies, “Solar and Wind Power and Energy Forecasting Ⅱ”, is intended to disseminate new promising methods and techniques to forecast the output power and energy of intermittent renewable energy sources.
Prof. Dr. Sonia Leva
Dr. Emanuele Ogliari
Dr. Alessandro Niccolai
Guest Editors
Manuscript Submission Information
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Keywords
- RES integration
- Forecasting techniques
- Machine learning
- Computational intelligence
- Optimization
- PV system
- Wind system
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