A new outlier rejection methodology for supporting load forecasting in smart grids based on big data.
Asmaa H. RabieShereen H. AliAhmed I. SalehHesham A. AliPublished in: Clust. Comput. (2020)
Keyphrases
- big data
- outlier rejection
- load forecasting
- short term load forecasting
- short term
- power system
- cloud computing
- data analysis
- big data analytics
- electric power
- data management
- feature matching
- feature tracking
- social media
- knowledge discovery
- data processing
- long term
- rbf neural network
- business intelligence
- data warehousing
- bp neural network
- support vector regression
- artificial neural networks
- artificial intelligence
- pattern recognition
- feature space
- image pairs
- decision support