Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach.
Xinxin ZhouJingru FengJian WangJianhong PanPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- load forecasting
- privacy preserving
- deep learning
- short term
- short term load forecasting
- power system
- electric power
- privacy preservation
- long term
- rbf neural network
- unsupervised learning
- privacy preserving data mining
- support vector regression
- bp neural network
- machine learning
- sensitive information
- data privacy
- vertically partitioned data
- mental models
- private information
- privacy concerns
- weakly supervised
- back propagation
- computational intelligence
- differential privacy
- data analysis
- face recognition
- artificial intelligence
- neural network