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Auflistung nach Schlagwort "smart grid"

1 - 2 von 2
  • Konferenzbeitrag
    Distributed Machine Learning Based Intrusion Detection System for Smart Grid
    (Sicherheit 2024, 2024) Wöhnert, Kai Hendrik
    The electrical grid is transitioning towards a decentralized structure, spurred by the inclusion of renewable energy. This paper addresses the complex security challenges faced due to its decentral network architecture. Traditional network security methods are insufficient in safeguarding against threats in this evolving environment. The focus is the creation of a decentralized intrusion detection system (IDS) using a machine learning approach optimized for resource-constrained devices. Preliminary evaluations indicate that smaller recurrent neural networks can effectively detect denial of service attacks in simulated networks. Future work will involve real-world data analysis and field tests in genuine smart grid environments.
  • Konferenzbeitrag
    Using grid supporting flexibility in electricity distribution networks
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, 2019) König, Immanuel; Heilmann, Erik; Henze, Janosch; David, Klaus; Wetzel, Heike; Sick, Bernhard
    The electrical grid is facing several challenges. On the energy generation side is the decentralized power generation in solar parks, wind parks or residential solar panels which all result in a time variable power generation. On the load side there are the challenges of controllable loads and the electromobility with its high demands to the grid. In addition to these technical challenges there is the political will towards renewable energy generation and the need for a smart grid. The orchestration of controllable loads with variable power generation could alleviate the problems. In this paper two approaches of how to orchestrate the controllable loads with the variable power generation are described: a centralized and market driven approach from the research project C/Sells and a decentralized approach from the research project LAGE-EE.