A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System.
Ameema ZainabDabeeruddin SyedAli GhrayebHaitham Abu-RubShady S. RefaatMahdi HouchatiOthmane BouhaliSantiago Bañales LopezPublished in: IEEE Access (2021)
Keyphrases
- machine learning algorithms
- sensitivity analysis
- power distribution
- load forecasting
- power generation
- power system
- transmission line
- short term load forecasting
- short term
- benchmark data sets
- machine learning
- learning algorithm
- electric power
- managerial insights
- decision trees
- machine learning methods
- rbf neural network
- bp neural network
- long term
- support vector regression
- learning tasks
- computational intelligence
- radial basis function
- differential equations
- fuzzy logic
- support vector machine
- wavelet neural network
- high dimensional
- artificial intelligence
- data mining