Short-Term Load Forecasting Based on Deep Learning for End-User Transformer Subject to Volatile Electric Heating Loads.
Qifang ChenMingchao XiaTeng LuXichen JiangWenxia LiuQinfei SunPublished in: IEEE Access (2019)
Keyphrases
- end users
- deep learning
- short term load forecasting
- power system
- load forecasting
- unsupervised learning
- unsupervised feature learning
- machine learning
- user interface
- neural network
- short term
- mental models
- weakly supervised
- fuzzy logic
- decision support system
- fault diagnosis
- expectation maximization
- dimensionality reduction
- rbf neural network
- pattern recognition