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Thomas Jatschka, Tobias Rodemann, Guenther Raidl , "A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning", EvoCOP 2023, 2023.
AbstractWe propose a multilevel optimization algorithm (MLO) for solving large scale instances of the Multi-Period Battery Swapping Station Location Problem (MBSSLP), i.e., a problem for deciding the placement of battery swapping stations in an urban area. MLO generates a solution to an MBSSLP instance in three steps. First the problem size is iteratively reduced in a coarsening phase. Afterwards, a solution to the coarsest problem is obtained and the ob...
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Kyle Poland, David Ehrlich, Abdullah Makkeh, Patricia Wollstadt, Michael Wibral , "Continuous Partial Information Decomposition and its Estimation", Decomposing Multivariate Information in Complex Systems (DeMICS 23), 2023.
AbstractWhile the existence of a measure-theoretic (i.e. continuous and discrete-continuously mixed) partial information decomposition has been established recently, the work of Schick-Poland et. al was not concluded with an explicit form of the resulting generalized measure. In this talk, I will not only elaborate on the properties of the measure-theoretic information measure of redundant information, but will also demonstrate an approximation of the me...
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Yuto Koroyasu , "Exploring 3D Point Cloud Autoencoders as Generative Models in Similarity-based Topology Optimization", Technical University of Munich, 2023.
AbstractTopology Optimization (TO) is a powerful computational technique utilized to optimize the material distribution in a design space and create 3D structures that maximize their mechanical performance under a set of constraints. When applied during early stages of product development, TO enables rapid creation of design concepts and reduces the number of design modifications. However, in industrial settings, engineers often neglect the manufacturin...
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Mick Voogt , "Reducing Evaluation Time for a Multi-objective Energy System Sizing Problem using Dynamic Simulation Time", Leiden University (Netherlands), 2023.
AbstractA hybrid energy system integrates multiple energy sources, unlike systems that rely solely on a single source. However, incorporating these diverse energy sources can be intricate due to the variable nature of renewable energy supply. An approach to address these energy fluctuations is by incorporating energy storage, enhancing system resilience but also increasing costs. Another option would be to rely more on conventional energy sources, which ...
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Steffen Limmer , "Empirical Study of Stability and Fairness of Schemes for Benefit Distribution in Local Energy Communities", Energies, vol. 16, no. 4, 2023.
AbstractThe concept of local energy communities is receiving increasing attention. However, the question of how to distribute the benefit of a community among its members is still open. It is commonly desired that the benefit distribution is fair and stable. While benefit distribution schemes such as the nucleolus, Shapley value and Shapley-core are known to perform well in terms of fairness and stability, studies have shown that none of them can guarant...
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Patricia Wollstadt, Christiane Wiebel, Thomas Franke , "Who’s in charge of charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles ", International Conference on Human-Computer Interaction, HCII 2023: HCI in Mobility, Transport, and Automotive Systems, vol. 14048, pp. 131-143, 2023.
AbstractWhat motivates users of smart charging to adopt cooperative resource regulation and relax some shorter-term local goals (like immediate flexibility) in order to permit more global and long-term goals (like the stabilization of the power grid)? Cooperative interfaces are a promising approach, although there is little psychological research to date for this use case. First design implications from a work-in-progress study are being presented....
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Zahra Foroozandeh, Steffen Limmer, Fernando Lezama, Ricardo Faia, Sergio Ramos, Joao Soares , "A MBNLP Method for Centralized Energy Pricing and Scheduling in Local Energy Community", IEEE PES Generation, Transmission and Distribution Conference & Exposition 2022 – Latin America (IEEE GTD 2022), 2023.
AbstractThis paper deals with pricing and demand scheduling in a Local Energy Community (LEC), including residential homes (consumers and prosumers), and Combined Heat and Power (CHP) generation units. It is assumed that some homes have Photovoltaic (PV) generation, and also some them have Electrical Vehicles (EVs). The objective of the proposed model is to manage the charge/discharge of EVs, and schedule energ...
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Manuel Dietrich, Matti Krüger, Thomas H Weisswange , "What should a robot disclose about me? A study about privacy-appropriate behaviors for social robots", Frontiers in Robotics and AI, vol. 10-2023, pp. 17, 2023.
AbstractFor robots to become integrated into our daily environment, they must be designed to gain sufficient trust of both users and bystanders. This is in particular important for social robots including those that assume the role of a mediator,working towards positively shaping relationships and interactions between individuals. One crucial factor influencing trust is the appropriate handling of personal information. Previous research on privacy has fo...
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Tim Puphal and Julian Eggert , "Introducing Risk Shadowing for Decisive and Comfortable Behavior Planning", IEEE International Conference on Intelligent Transportation Systems, 2023.
AbstractWe consider the problem of group interactions in urban driving. State-of-the-art behavior planners for self-driving cars mostly consider each single agent-to-agent interaction separately in a cost function in order to find an optimal behavior for the ego agent, such as not colliding with any of the other agents. In this paper, we develop risk shadowing, a situation understanding method that allows us to go beyond single interactions by analyzing ...
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Chao Wang, Anna Belardinelli, Daniel Tanneberg, Stephan Hasler, Theodoros Stouraitis, Michael Gienger , "Enhancing Incremental-learning process of Robotic with Augmented Reality", CHI 2023, 2023.
AbstractThis interactivity proposal plans to show how the augmented reality (AR) technology can enhance the user experience in teaching and interacting with the robots in the home environment via 3 examples: 1. A demonstration of teaching the robot to utilize some appliance via AR glass. 2. A demonstration that the robot use learned knowledge to accomplish certain task. 3. A demonstration of robotics display its intention and ergonomic consideration via...
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