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Energy Prediction using Federated Learning

Machine Learning 2023-01-24 v1 Signal Processing

Abstract

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.

Keywords

Cite

@article{arxiv.2301.09165,
  title  = {Energy Prediction using Federated Learning},
  author = {Meghana Bharadwaj and Sanjana Sarda},
  journal= {arXiv preprint arXiv:2301.09165},
  year   = {2023}
}
R2 v1 2026-06-28T08:17:22.555Z