Judith Schwarzer

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—Demand response management is one of the key applications of future energy systems. Most of the corresponding models and algorithms require a certain amount of user interaction to define appliances and rules for these processes. In this paper we implemented a cloud-based demand response approach to evaluate its efficiency depending on users input data. For(More)
PURPOSE Today healthcare policy is based on effectiveness. Diagnostic imaging became a "pacesetter" due to amazing technical developments (e. g. multislice CT), extensive data volumes, and especially the well defined workflow-orientated scenarios on a local and (inter)national level. To make centralized networks sufficient, image data compression has been(More)
— Demand response (DR) management is one of the key applications of future energy systems. Most of the corresponding models and algorithms require data communication between different smart grid network components to work efficiently. In this paper, 31 contributions from literature are evaluated with respect to their data communication requirements.(More)
In diesem Beitrag wird erläutert, welche Aspekte des Datenschutzes beim Smartmeter Einsatz für die Stromkunden von Bedeutung sind. Die Ergebnisse einer Untersuchung bei Salzburger Stromkunden werden analysiert und daraus für die technische Umsetzung von Smart Grid Anwendungen erfolgversprechende Konzepte entwickelt.
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