http://dl.gi.de/handle/20.500.12116/23832 Thu, 23 Jul 2026 07:13:01 GMT 2026-07-23T07:13:01Z http://dl.gi.de/handle/20.500.12116/25806 Contexto: Leveraging Energy Awareness in the Development of Context-Aware Applications Schirmer, Maximilian; Bertel, Sven; Pencke, Jonas Gómez, Jorge Marx; Sonnenschein, Michael; Vogel, Ute; Winter, Andreas; Rapp, Barbara; Giesen, Nils We introduce a new context classification and recognition framework for the development and deployment of mobile, context-aware applications. The framework is complemented with an energy calculator that specifically assists mobile developers in estimating the energy footprint of context-aware applications during the development process with the framework. The framework abstracts from the raw context information gathering, allows for sensor fusion, enables the prediction of custom and higher-level contexts, and provides for context sharing. Wed, 01 Jan 2014 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25806 2014-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/25804 A Risk Management for Agent-based Control of Ancillary Service Provision from Distributed Energy Resources in Smart Grids Schnabel, Sabrina-Cynthia; Appelrath, H.-Jürgen; Lehnhoff, Sebastian; Tröschel, Martin Gómez, Jorge Marx; Sonnenschein, Michael; Vogel, Ute; Winter, Andreas; Rapp, Barbara; Giesen, Nils With increasing shares of renewable power generation, conventional power generation from largescale and highly predictable fossil power plants decreases. Reliably substituting these plants depends on distributed energy resources (DER) being able to provide ancillary services such as frequency and voltage control that are necessary for a reliable and stable power supply. In this paper, we present first concepts regarding an agent-based approach for a stable and reliable control of ancillary service provision from DER, and we outline research challenges regarding the management of the economical risk an operator faces when trading active power and ancillary services from DER at energy markets. Wed, 01 Jan 2014 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25804 2014-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/25803 Aligning IT Architecture Analysis and Security Standards for Smart grids Schlegel, Stefanie; Rosinger, Christine; Uslar, Mathias Gómez, Jorge Marx; Sonnenschein, Michael; Vogel, Ute; Winter, Andreas; Rapp, Barbara; Giesen, Nils In this paper, an approach using the European Smart Grid Architecture Model (SGAM), in the context of the NISTIR 7628, is presented. Research has shown that both models and methodologies have particular impact, but have not yet been put into mutual context. The combination of these models makes it possible for US smart grid experts to re-use the SGAM model and its benefits, and vice versa European stakeholders are encouraged to use the security analysis framework from NIST. Within this paper, we briefly introduce the methodologies including their strengths and fallbacks. We outline the necessity to make them interoperable and aligning them. Finally, the logical interface framework from NISTIR 7628 is mapped onto the SGAM and its planes, domains and zones, bridging the previous gap. Wed, 01 Jan 2014 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25803 2014-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/25807 On the Impact of User Feedback on Energy Consumption Bunse, Christian Gómez, Jorge Marx; Sonnenschein, Michael; Vogel, Ute; Winter, Andreas; Rapp, Barbara; Giesen, Nils The energy consumption of mobile devices is of increasing importance for users, developers and vendors. Frequent recharging cycles have an impact onto the mobility of a device and thus, on user experience. While hardware and software are known to have an impact on energy consumption, user behaviour (when and how a device is used) is often not in the focus of attention. Research in on “smart-metering” has shown that user behaviour is a non-negligible impact factor. This paper reports about the results of an ongoing study on the impact of user feedback onto the energy consumption of mobile devices (i.e. Smartphones). The hypothesis being, that the frequent provision of energy-related feedback on user actions will significantly reduce energy utilization. First results support this hypothesis and indicate that feedback frequency and feedback clearly linked to specific user activities are key in this regard. Wed, 01 Jan 2014 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/25807 2014-01-01T00:00:00Z