Energy Prediction using Federated Learning

Autor: Bharadwaj, Meghana, Sarda, Sanjana
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: In this work, we demonstrate the viability of using federated learning to successfully predict energy consumption as well as solar production for all households within a certain network using low-power and low-space consuming embedded devices. We also demonstrate our prediction performance improving over time without the need for sharing private consumer energy data. We simulate a system with four nodes using data for one year to show this.
Databáze: arXiv