Forecasting household electricity demand with hybrid machine learning-based methods: Effects of residents' psychological preferences and calendar variables.
Ru-Xin NieZhang-peng TianRuyin LongWei DongPublished in: Expert Syst. Appl. (2022)
Keyphrases
- machine learning
- machine learning methods
- benchmark datasets
- artificial intelligence
- learning algorithm
- data mining
- preprocessing
- random variables
- electricity markets
- predictive model
- machine learning approaches
- short term
- machine learning algorithms
- text mining
- supervised learning
- information extraction
- long term
- artificial neural networks
- reinforcement learning
- decision trees