Hybrid Energy Forecasting Models
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 4640
Special Issue Editor
Interests: solar energy; wind energy; stochastic methods; stochastic modeling; atmospheric wind speed; times series analysis; turbulence
Special Issue Information
Dear Colleagues,
The main aim of this Special Issue is to provide a forum for researchers covering the whole range of hybrid forecasting applications to intermittent renewable power generation.
The installed capacity for energy from solar farms, wind farms, and marine energy systems is constantly increasing in response to worldwide interest in low-emissions power sources and a desire to decrease the dependence on petroleum. The variability and unpredictability of this kind of resources over short, medium, and large time scales remains a challenging task, as its penetration of this energy into the electric grid is limited. Hence, forecasting of renewable energy power generation is playing a key role and is of real practical importance in managing the electrical network for integrating this kind of energy.
For this Special Issue, we would like to encourage original contributions regarding recent developments and ideas and review articles covering applications of hybrid forecasting in renewable power generation. The Special Issue will focus on the most important forecasting techniques applied to renewable energies management, including but not limited to the following:
- Statistical forecasting models;
- Multiscale decomposition method: Fourier decomposition, Wavelet decomposition, EMD, EEMD, CEMD, etc.;
- Regime-switching models;
- Artificial Intelligence: Fuzzy, ANN, Machine Learning, SVR, etc.;
- Hybrid and combined models;
- Hierarchical and probabilistic models
- Optimization
We invite you to submit your original work to this Special Issue and look forward to receiving your outstanding research.
Prof. Dr. Rudy Calif
Guest Editor
Manuscript Submission Information
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Keywords
- wind speed
- solar radiation
- wind energy
- solar energy
- wave energy
- time series
- forecasting techniques
- multiscale analysis
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