Professor of Applied Informatics at KIT, retired in 2018.KIT Distinguished Senior FellowDirector at FZI Research Center for Information Technology Address: Germany
Flexibility in consumption and production provided by distributed energy resources (DERs) is a ke... more Flexibility in consumption and production provided by distributed energy resources (DERs) is a key to the integration of renewable energy sources into the energy system. However, even for identical DERs, the flexibility can vary widely, based on local constraints and circumstances. Therefore, handcrafting models can be labor-intensive and automating the generation of models could help increasing the volume of controllable flexibility in smart grids. Depending on the underlying mechanism for controlling demand side flexibility, there are various ways how an automation can be achieved. In this paper, we discuss fundamental concepts relevant to the automated generation of models for demand side flexibility, give an overview of different approaches, and point out fundamental differences. The main focus lies on model generation by means of machine learning techniques.
From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 "Organic Computing - Controlle... more From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 "Organic Computing - Controlled Self-organization"' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15... more This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 "Smart Buildings and Smart Grids", which took place from 22-27 February 2015 at Schloss Dagstuhl-Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22-27, 2015-http://www.dagstuhl.de/15091
Low-voltage distribution grids face new challenges through the expansion of decentralized, renewa... more Low-voltage distribution grids face new challenges through the expansion of decentralized, renewable energy generation and the electrification of the heat and mobility sectors. We present a multi-agent system consisting of the energy management systems of smart buildings, a central grid controller, and the local controller of a transformer. It can coordinate the provision of ancillary services for the local grid in a centralized way, coordinated by the central controller, and in a decentralized way, where each building makes independent control decisions based on locally measurable data. The presented system and the different control strategies provide the foundation for a fully adaptive grid control system we plan to implement in the future, which does not only provide resilience against electricity outages but also against communication failures by appropriate switching of strategies. The decentralized strategy, meant to be used during communication failures, could also be used ex...
Organic Computing has emerged recently as a challenging vision for future information processing ... more Organic Computing has emerged recently as a challenging vision for future information processing systems, based on the insight that we will soon be surrounded by large collections of autonomous systems equipped with sensors and actuators to be aware of their environment, to communicate freely, and to organize themselves in order to perform the actions and services required. Organic Computing Systems will adapt dynamically to the current conditions of its environment, they will be selforganizing, self-con guring, self-healing, self-protecting, self-explaining, and context-aware. From 15.01.06 to 20.01.06, the Dagstuhl Seminar 06031 Organic Computing Controlled Emergence was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. The seminar was characterized by the very constructive search for common ground between engineering and natural sciences, between informatics on the one hand and biology, neuroscience, and chemistry on the other. The common denomina...
This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15... more This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 “Smart Buildings and Smart Grids”, which took place from 22–27 February 2015 at Schloss Dagstuhl – Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22–27, 2015 – http://www.dagstuhl.de/15091 1998 ACM Subject Classification D.0 [Software] Software, G.0 [Mathematics of Computi...
International Journal of Intelligent Computing and Cybernetics, 2009
PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental proc... more PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental process inspired by natural evolution. The purpose of this paper is to utilize a control system representation based on finite state machines (FSMs) to build a decentralized online‐evolutionary framework for swarms of mobile robots.Design/methodology/approachA new recombination operator for multi‐parental generation of offspring is presented and a known mutation operator is extended to harden parts of genotypes involved in good behavior, thus narrowing down the dimensions of the search space. A storage called memory genome for archiving the best genomes of every robot introduces a decentralized elitist strategy. These operators are studied in a factorial set of experiments by evolving two different benchmark behaviors such as collision avoidance and gate passing on a simulated swarm of robots. A comparison with a related approach is provided.FindingsThe framework is capable of robustly evolv...
Flexibility in consumption and production provided by distributed energy resources (DERs) is a ke... more Flexibility in consumption and production provided by distributed energy resources (DERs) is a key to the integration of renewable energy sources into the energy system. However, even for identical DERs, the flexibility can vary widely, based on local constraints and circumstances. Therefore, handcrafting models can be labor-intensive and automating the generation of models could help increasing the volume of controllable flexibility in smart grids. Depending on the underlying mechanism for controlling demand side flexibility, there are various ways how an automation can be achieved. In this paper, we discuss fundamental concepts relevant to the automated generation of models for demand side flexibility, give an overview of different approaches, and point out fundamental differences. The main focus lies on model generation by means of machine learning techniques.
From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 "Organic Computing - Controlle... more From March 30th to April 4th 2008, the Dagstuhl Seminar 08141 "Organic Computing - Controlled Self-organization"' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15... more This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 "Smart Buildings and Smart Grids", which took place from 22-27 February 2015 at Schloss Dagstuhl-Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22-27, 2015-http://www.dagstuhl.de/15091
Low-voltage distribution grids face new challenges through the expansion of decentralized, renewa... more Low-voltage distribution grids face new challenges through the expansion of decentralized, renewable energy generation and the electrification of the heat and mobility sectors. We present a multi-agent system consisting of the energy management systems of smart buildings, a central grid controller, and the local controller of a transformer. It can coordinate the provision of ancillary services for the local grid in a centralized way, coordinated by the central controller, and in a decentralized way, where each building makes independent control decisions based on locally measurable data. The presented system and the different control strategies provide the foundation for a fully adaptive grid control system we plan to implement in the future, which does not only provide resilience against electricity outages but also against communication failures by appropriate switching of strategies. The decentralized strategy, meant to be used during communication failures, could also be used ex...
Organic Computing has emerged recently as a challenging vision for future information processing ... more Organic Computing has emerged recently as a challenging vision for future information processing systems, based on the insight that we will soon be surrounded by large collections of autonomous systems equipped with sensors and actuators to be aware of their environment, to communicate freely, and to organize themselves in order to perform the actions and services required. Organic Computing Systems will adapt dynamically to the current conditions of its environment, they will be selforganizing, self-con guring, self-healing, self-protecting, self-explaining, and context-aware. From 15.01.06 to 20.01.06, the Dagstuhl Seminar 06031 Organic Computing Controlled Emergence was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. The seminar was characterized by the very constructive search for common ground between engineering and natural sciences, between informatics on the one hand and biology, neuroscience, and chemistry on the other. The common denomina...
This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15... more This report provides an overview of the program, discussions, and outcomes of Dagstuhl Seminar 15091 “Smart Buildings and Smart Grids”, which took place from 22–27 February 2015 at Schloss Dagstuhl – Leibniz Center for Informatics. The main goal of the seminar was to provide a forum for leading Energy Informatics (EI) researchers to discuss their recent research on Smart Buildings and Smart Grids, to further elaborate EI research agenda and methods, and to kick-start new research projects with industry. The report contains abstracts of talks that were held by the participants and the outcomes of several discussion sessions on the focal topics of the seminar (e.g., information technology driven developments in building and power system management, as well as cross-cutting topics, such as computer networks, data management, and system design. Seminar February 22–27, 2015 – http://www.dagstuhl.de/15091 1998 ACM Subject Classification D.0 [Software] Software, G.0 [Mathematics of Computi...
International Journal of Intelligent Computing and Cybernetics, 2009
PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental proc... more PurposeIn evolutionary robotics (ER), robotic control systems are subject to a developmental process inspired by natural evolution. The purpose of this paper is to utilize a control system representation based on finite state machines (FSMs) to build a decentralized online‐evolutionary framework for swarms of mobile robots.Design/methodology/approachA new recombination operator for multi‐parental generation of offspring is presented and a known mutation operator is extended to harden parts of genotypes involved in good behavior, thus narrowing down the dimensions of the search space. A storage called memory genome for archiving the best genomes of every robot introduces a decentralized elitist strategy. These operators are studied in a factorial set of experiments by evolving two different benchmark behaviors such as collision avoidance and gate passing on a simulated swarm of robots. A comparison with a related approach is provided.FindingsThe framework is capable of robustly evolv...
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Papers by Hartmut Schmeck