Secure short-term load forecasting for smart grids with transformer-based federated learning
Author:
Affiliation:
1. Institute for Data Processing and Electronics (IPE),Karlsruhe Institute of Technology (KIT),Eggenstein-Leopoldshafen,Germany,76344
Funder
Karlsruhe Institute of Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10247344/10247357/10247363.pdf?arnumber=10247363
Reference36 articles.
1. Electricity Consumer Characteristics Identification: A Federated Learning Approach
2. Adam: A Method for Stochastic Optimization;kingma,2014
3. Decentralized Federated Learning for Nonintrusive Load Monitoring in Smart Energy Communities
4. FedDP: A Privacy-Protecting Theft Detection Scheme in Smart Grids Using Federated Learning
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1. Multi-Horizon Short-Term Electrical Load Forecasting: A Comparative Analysis of Statistical Models and Deep Neural Networks;2024 IEEE International Symposium on Measurements & Networking (M&N);2024-07-02
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