Cargando…
Forecasting Short-Term Electricity Load with Combinations of Singular Spectrum Analysis
Accurate electricity demand forecasting can provide a timely and effective reference for economic control and facilitate the secure production and operation of power systems. However, electricity data are well known for their nonlinearity and multi-seasonal features, making it challenging to constru...
Autor principal: | Zhang, Xiaobo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189810/ https://www.ncbi.nlm.nih.gov/pubmed/35730058 http://dx.doi.org/10.1007/s13369-022-06934-y |
Ejemplares similares
-
Recurrent neural networks for short-term load forecasting: an overview and comparative analysis
por: Bianchi, Filippo Maria, et al.
Publicado: (2017) -
Advances in electric power and energy systems: load and price forecasting
por: El-Hawary, Mohamed E
Publicado: (2017) -
Cybernetics and forecasting techniques
por: Ivakhnenko, A G, et al.
Publicado: (1967) -
Forecasting Oracle Performance
por: Shallahamer, Craig
Publicado: (2007) -
A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
por: Parraga-Alava, Jorge, et al.
Publicado: (2020)