Topic Editors

Department of Energy, Politecnico di Milano, Via La Masa, 34, 20156 Milano, Italy
Department of Energy–Electrical Engineering, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy
Department of Energy, Politecnico di Milano, 20156 Milan, Italy

Solar and Wind Power and Energy Forecasting

Abstract submission deadline
20 August 2024
Manuscript submission deadline
20 November 2024
Viewed by
21942

Topic Information

Dear Colleagues,

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
Topic Editors

Keywords

  • RES integration
  • forecasting techniques
  • machine learning
  • computational intelligence
  • optimization
  • PV system
  • wind system

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Energies
energies
3.0 6.2 2008 17.5 Days CHF 2600 Submit
Applied Sciences
applsci
2.5 5.3 2011 17.8 Days CHF 2400 Submit
Forecasting
forecasting
2.3 5.8 2019 24.2 Days CHF 1800 Submit
Solar
solar
- - 2021 27.4 Days CHF 1000 Submit
Wind
wind
- - 2021 43.5 Days CHF 1000 Submit

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Published Papers (17 papers)

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