Energy Demand Prediction with Federated Learning for Electric Vehicle Networks

no code implementations • 3 Sep 2019 • Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz, Markus Dominik Mueck, Srikathyayani Srikanteswara

Through experimental results, we show that our proposed approaches can improve the accuracy of energy demand prediction up to 24. 63% and decrease communication overhead by 83. 4% compared with other baseline machine learning algorithms.

BIG-bench Machine Learning Clustering +1