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Greek researchers develop privacy-preserving PV forecasting technique
- Greek researchers have developed a privacy-preserving PV forecasting technique.
- The technique uses federated learning, where local model updates are sent to a central server for correction.
- Simulations showed surprising results compared to centralized forecasting.
- The approach balances privacy and accuracy trade-offs in prosumer schemes.
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