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Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications.
- Source :
- Energies (19961073); Apr2023, Vol. 16 Issue 7, p3024, 11p
- Publication Year :
- 2023
-
Abstract
- Main Forecasting Problems There are different types of forecasting problems that can arise in electricity demand forecasting, including: Very short-term forecasting, which refers to the prediction of electricity demand or production for a time horizon from seconds to a few hours ahead. The applications of long-term forecasts of wind farm power generation are, e.g., maintenance scheduling, wind farm design, electricity market restructuring, and optimization of operating costs. A modern power system is a complex network of interconnected components, such as generators, transmission lines, and distribution subsystems, that are designed to provide electricity to consumers in an efficient and reliable manner. A power system requires forecasts that predict the future electricity demand, the power generation from RESs, and meteorological data that are important regarding consumer demand and the level of generation from RESs. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 19961073
- Volume :
- 16
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Energies (19961073)
- Publication Type :
- Academic Journal
- Accession number :
- 163043504
- Full Text :
- https://doi.org/10.3390/en16073024