We propose a robust abstracted device scheduling architecture. The proposed architecture utilizes both attack detection and impacts mitigation strategies.

Oct 28, 2020 · The proposed architecture utilizes both attack detection and impacts mitigation strategies, as it can be leveraged to improve the robustness of.

Nov 12, 2020 · Our experimental results show how a small percentage of overall demand increase can lead to a significant cost reduction for the adversary.

Utilities are required to exchange data with home energy management systems (HEMS) for the realization of efficient demand response (DR) systems.

Utilities are required to exchange data with home energy management systems (HEMS) for the realization of efficient demand response (DR) systems.

Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids. In IEEE PES Innovative Smart Grid Technologies Europe, ISGT ...

[RDF data]. Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids. Resource URI: https://dblp.l3s.de/d2r/resource ...

In this paper, we study cyber attacks that target customers' demand-response programs in smart grids by injecting false consumption and generation information.

Effective demand response (DR) schemes are expected to increase the efficiency of smart grids with peak demand contraction while diminishing consumers' ...

Nov 7, 2024 · Robust Demand Response for Device Scheduling under False Data Injection Attacks in Smart Grids ... Utilities are required to exchange data with ...