Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach.
Xinxin ZhouJingru FengJian WangJianhong PanPublished in: CoRR (2022)
Keyphrases
- load forecasting
- privacy preserving
- deep learning
- short term
- short term load forecasting
- power system
- electric power
- privacy preserving data mining
- unsupervised learning
- rbf neural network
- long term
- vertically partitioned data
- privacy preservation
- support vector regression
- bp neural network
- machine learning
- weakly supervised
- wavelet neural network
- differential privacy
- sensitive information
- private information
- privacy concerns
- mental models
- data privacy
- linear combination
- active learning
- secure multiparty computation
- data sets
- probabilistic model
- artificial intelligence