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An adaption scheduling based on dynamic weighted random forests for load demand forecasting.
Mincheng Chen
Jingling Yuan
Dongling Liu
Tao Li
Published in:
J. Supercomput. (2020)
Keyphrases
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random forests
demand forecasting
random forest
machine learning algorithms
decision trees
logistic regression
ensemble methods
decision tree ensembles
power system
historical data
forecasting accuracy
regression model
genetic algorithm
prediction accuracy
long term
hybrid model
pattern recognition