Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans.
Mohammed Rashad BakerKamal H. JihadHussein Al-bayatyAhmed GhareebHessein AliJun-Ki ChoiQiancheng SunPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- demand forecasting
- ensemble learning
- uncertainty management
- machine learning
- historical data
- ensemble methods
- generalization ability
- temporal reasoning
- machine learning methods
- feature selection
- supply chain
- random forest
- decision trees
- forecasting accuracy
- support vector machine
- base classifiers
- artificial intelligence
- data mining
- concept drift
- text classification
- active learning
- data analysis
- pattern recognition
- machine learning algorithms
- unlabeled data
- semi supervised learning
- supervised learning
- learning algorithm
- short term
- model selection
- knowledge discovery
- water resources
- support vector
- neural network