Now showing items 1-2 of 2

    • Exploring Lightweight Federated Learning for Distributed Load Forecasting 

      Shanker, Shreejith; Zhao, Jin (2023)
      Federated Learning (FL) is a distributed learning scheme that enables deep learning to be applied to sensitive data streams and applications in a privacy-preserving manner. This paper focuses on the use of FL for analyzing ...
    • A Real-Time Transactive Energy System for Pervasive DERs 

      O'Mahony, Donal (2020)
      The grid is witnessing an increasing emergence of small distributed energy resources (DERs), along with a greater prevalence of storage systems. These participants have highly dynamic properties and thus introduce several ...