Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach

no code implementations • 30 Jun 2022 • Xinxin Zhou, Jingru Feng, Jian Wang, Jianhong Pan

In this method, the integrated power is decomposed into individual device power by non-intrusive load monitoring, and the power of individual appliances is predicted separately using a federated deep learning model.

Federated Learning Load Forecasting +2

Non-intrusive load decomposition based on CNN-LSTM hybrid deep learning model

no code implementations • 2 Sep 2021 • Xinxin Zhou, Jingru Feng, Yang Li

In this paper, the proposed decomposition method is compared with the existing traditional deep learning load decomposition method.