Solar and Wind Power and Energy Forecasting
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 standalone hybrid systems, for the optimum size of all its components and to improve the reliability of the isolated systems.
This Topic on “Solar and Wind Power and Energy Forecasting” is intended to disseminate new promising methods and techniques to forecast the output power and energy of intermittent renewable energy sources.
Dr. Emanuele Ogliari
Dr. Alessandro Niccolai
Prof. Dr. Sonia Leva
- RES integration
- forecasting techniques
- machine learning
- computational intelligence
- PV system
- wind system
|Journal Name||Impact Factor||CiteScore||Launched Year||First Decision (median)||APC|
|3.2||5.5||2008||15.7 Days||CHF 2600||Submit|
|2.7||4.5||2011||15.8 Days||CHF 2300||Submit|
|3.0||4.0||2019||20.4 Days||CHF 1400||Submit|
|-||-||2021||16.8 Days||CHF 1000||Submit|
|-||-||2021||21.6 Days||CHF 1000||Submit|
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