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Sebastian Gottwalt
Researcher at Center for Information Technology
Publications - 15
Citations - 901
Sebastian Gottwalt is an academic researcher from Center for Information Technology. The author has contributed to research in topics: Demand response & Electric power system. The author has an hindex of 8, co-authored 15 publications receiving 789 citations. Previous affiliations of Sebastian Gottwalt include Forschungszentrum Informatik.
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Journal ArticleDOI
Demand side management—A simulation of household behavior under variable prices
TL;DR: In this article, the authors investigate the impact of smart appliances and variable prices on electricity bills of a household and show that for households the savings from equipping them with smart appliances are moderate compared to the required investment.
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Quantifying load flexibility of electric vehicles for renewable energy integration
TL;DR: In this paper, a mixed-integer optimization problem minimizing the amount of conventional generation employed was formulated to evaluate to what extent EV fleets (based on empirical driving profiles from two distinct sociodemographic groups) can cover their charging requirements by means of variable renewable generation.
Journal ArticleDOI
Modeling and Valuation of Residential Demand Flexibility for Renewable Energy Integration
TL;DR: The simulation results indicate that electric vehicles, stationary batteries, and storage heaters are the most promising devices for residential DR and it is shown that the potential of a device to directly utilize intermittent RG is largely influenced by the composition of the renewable energy source portfolio.
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Improving Electric Vehicle Charging Coordination Through Area Pricing
TL;DR: A charging coordination model based on German mobility data is developed that is able to analyze the loads from price-based EV fleet charging while at the same time accounting for distribution grid constraints, and introduces a spatial price component that reflects local capacity utilization.
Proceedings ArticleDOI
Assessing load flexibility in smart grids: Electric vehicles for renewable energy integration
TL;DR: In this article, the authors developed a mixed-integer program to assess the ability of an EV fleet operator to coordinate charging in such a way that a maximum amount of renewable energy is used.