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Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
The advent of smart meters has enabled pervasive collection of energy consumption data for training short-term load forecasting models.
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation
The widespread adoption of smart meters provides access to detailed and localized load consumption data, suitable for training building-level load forecasting models.
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients
The advent of smart meters has enabled pervasive collection of energy consumption data for training short-term load forecasting (STLF) models.
Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality
Non-convex AC optimal power flow (AC-OPF) is a fundamental optimization problem in power system analysis.
Co-optimization of Battery Routing and Load Restoration for Microgrids with Mobile Energy Storage Systems
Mobile energy storage systems (MESS) offer great operational flexibility to enhance the resiliency of distribution systems in an emergency condition.
Differentially Private Load Restoration for Microgrids with Distributed Energy Storage
Distributed energy storage systems (ESSs) can be efficiently leveraged for load restoration (LR) for a microgrid (MG) in island mode.
Load Restoration in Islanded Microgrids: Formulation and Solution Strategies
In this paper, we consider the problem of load restoration in a microgrid (MG) that is islanded from the upstream DS.
