[HTML][HTML] A review of federated learning in renewable energy applications: Potential, challenges, and future directions
A Grataloup, S Jonas, A Meyer - Energy and AI, 2024 - Elsevier
Federated learning has recently emerged as a privacy-preserving distributed machine
learning approach. Federated learning enables collaborative training of multiple clients and …
learning approach. Federated learning enables collaborative training of multiple clients and …
Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
The escalating challenges of traffic congestion and environmental degradation underscore
the critical importance of embracing E-Mobility solutions in urban spaces. In particular, micro …
the critical importance of embracing E-Mobility solutions in urban spaces. In particular, micro …