eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms.
Zhaoyang ZhuWeiqi ChenRui XiaTian ZhouPeisong NiuBingqing PengWenwei WangHengbo LiuZiqing MaQingsong WenLiang SunPublished in: AAAI (2023)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- decision trees
- machine learning
- machine learning methods
- predictive accuracy
- electricity consumption
- short term
- learning problems
- learning tasks
- machine learning approaches
- input features
- load forecasting
- machine learning models
- demand forecasting
- machine learning systems
- long term
- random forests
- transfer learning
- loss function
- multi class
- reinforcement learning
- electric power
- feature selection
- standard machine learning algorithms