Wilke, Gwendolin
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Wilke
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Gwendolin
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Wilke, Gwendolin
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- PublikationTechnical Validation of the RLS Smart Grid Approach to increase Power Grid Capacity without Physical Grid Expansion(SciTePress, 05/2019) Christen, Ramón; Layec, Vincent; Wilke, Gwendolin; Wache, Holger; Donnellan, Brian; Klein, Cornel; Helfert, Markus [in: Smartgreens 2019. 8th International Conference on Smart Cities and Green ICT Systems, Heraklion, Crete, Greece, May 3-5, 2019. ProceedingsHeraklion, Crete, Greece,]The electrification of the global energy system and the shift towards distributed power production from sus- tainable sources triggers an increased network capacity demand at times of high production or consumption. Existing energy management solutions can help mitigate resulting high costs of large-scale physical grid rein- forcement, but often interfere in customer processes or restrict free access to the energy market. In a preceding paper, we proposed the RLS regional load shaping approach as a novel business model and load management solution in middle voltage grid to resolve this dilemma: market-based incentives for all stakeholders are pro- vided to allow for flexible loads that are non-critical in customer processes to be allocated to the unused grid capacity traditionally reserved for N-1 security of supply. We provide a validation of the technical aspects of the approach, with an evaluation of the day-ahead load forecasting method for industry customers and a load optimization heuristics. The latter is tested by a simulation run on a scenario of network branch with provoked capacity bottlenecks. The method handles all provoked critical network capacity situations as expected.04B - Beitrag Konferenzschrift
- PublikationTechnical validation of the RLS smart grid approach to increase power grid capacity without physical grid expansion(SciTePress, 2019) Christen, Ramón; Layec, Vincent; Wilke, Gwendolin; Wache, Holger; Donnellan, Brian; Klein, Cornel; Helfert, Markus [in: Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems]The electrification of the global energy system and the shift towards distributed power production from sus- tainable sources triggers an increased network capacity demand at times of high production or consumption. Existing energy management solutions can help mitigate resulting high costs of large-scale physical grid rein- forcement, but often interfere in customer processes or restrict free access to the energy market. In a preceding paper, we proposed the RLS regional load shaping approach as a novel business model and load management solution in middle voltage grid to resolve this dilemma: market-based incentives for all stakeholders are pro- vided to allow for flexible loads that are non-critical in customer processes to be allocated to the unused grid capacity traditionally reserved for N-1 security of supply. We provide a validation of the technical aspects of the approach, with an evaluation of the day-ahead load forecasting method for industry customers and a load optimization heuristics. The latter04B - Beitrag Konferenzschrift
- PublikationRevenue optimization of telecom marketing campaigns for prepaid customers(International Academy, Research, and Industry Association (IARIA), 2018) Riedweg, Maurus; Svaba, Pavol; Wilke, Gwendolin; Marchildon, Philippe; Hammad, Rawad [in: BUSTECH 2018 : The Eighth International Conference on Business Intelligence and Technology]The design and optimization of marketing campaigns today usually still includes a high level of manual expert in- volvement. This applies particularly to the prepaid mobile phone sector of the highly competitive telecommunication industry. Since prepaid telecom customers are characterized by highly volatile and sparse usage data their future behavior is hard to predict, and marketers often rely mainly on experience and gut feeling when designing marketing campaigns, using only simple data analysis tools. The project developed a methodology and software prototype that helps marketers in this area to exploit the full potential of real-time big data-driven analytics for microtargeting, allowing them to make fact-based and informed decisions. Specifically, it provides an interactive solution for the semi-automated visual support of the design and optimization of single-channel marketing campaigns. The developed solutions brings a huge step towards the automation of the whole process of optimizing marketing campai04B - Beitrag Konferenzschrift
- PublikationFuzzy Logic with Evaluated Syntax for Sound Geometric Reasoning with Geographic Information(01.06.2014) Wilke, Gwendolin04B - Beitrag Konferenzschrift
- PublikationIntelligent Dynamic Load Management Based on Solar Panel Monitoring(04.04.2014) Wilke, Gwendolin; Schaaf, Marc; Wache, Holger; Gatziu Grivas, Stella; Ryter, Remo; Mikkola, Topi; Bun, Eric04B - Beitrag Konferenzschrift
- PublikationIntegrating an Enterprise Architecture Ontology in a Case-Based Reasoning Approach for Project Knowledge(08.11.2013) Martin, Andreas; Emmenegger, Sandro; Wilke, Gwendolin04B - Beitrag Konferenzschrift