Multivariate time series classification with crucial timestamps guidance
Transformer-based deep learning methods have significantly facilitated multivariate time
series classification (MTSC) tasks. However, due to the inherent operation of self-attention …
series classification (MTSC) tasks. However, due to the inherent operation of self-attention …
[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 …
Privacy-preserving estimation of electric vehicle charging behavior: A federated learning approach based on differential privacy
X Kong, L Lu, K Xiong - Internet of Things, 2024 - Elsevier
With the popularity of connected electric vehicles, the openness and sharing of charging
data between stakeholders allows a more accurate estimation of charging behavior, which is …
data between stakeholders allows a more accurate estimation of charging behavior, which is …
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 …