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Jörg Bremer
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- affiliation: University of Oldenburg, Germany
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2020 – today
- 2023
- [j5]Jörg Bremer
, Sebastian Lehnhoff:
Enhancing Local Decisions in Agent-Based Cartesian Genetic Programming by CMA-ES. Syst. 11(4): 177 (2023) - [c54]Barbara Rapp
, Jörg Bremer
:
Masking Sensitive Data in Self-Organized Smart Region Orchestration. ICIEI 2023: 235-240 - [c53]Malin Radtke, Christoph Stucke, Malte Trauernicht, Carsten Montag, Frauke Oest, Emilie Frost, Jörg Bremer, Sebastian Lehnhoff:
Integrating Agent-Based Control for Normal Operation in Interconnected Power and Communication Systems Simulation. SSCI 2023: 228-233 - [c52]Jörg Bremer, Sebastian Lehnhoff:
Hybridizing Lévy Flights and Cartesian Genetic Programming for Learning Swarm-Based Optimization. UKCI 2023: 299-310 - 2022
- [c51]Jörg Bremer, Sebastian Lehnhoff:
Information Disclosure in VPP - Information Disclosure by Decentralized Coordination in Virtual Power Plants and District Energy Systems. EnviroInfo 2022: 133-140 - [c50]Jörg Bremer, Sebastian Lehnhoff:
Fully Distributed Cartesian Genetic Programming. PAAMS 2022: 36-49 - 2021
- [j4]Jörg Bremer
, Sebastian Lehnhoff:
Ant colony optimization for feasible scheduling of step-controlled smart grid generation. Swarm Intell. 15(4): 403-425 (2021) - [c49]Jörg Bremer, Sebastian Lehnhoff:
Towards Evolutionary Emergence. FedCSIS (Position Papers) 2021: 55-60 - [c48]Jörg Bremer, Johannes Gerster, Birk Brückner, Marcel Sarstedt
, Sebastian Lehnhoff, Lutz Hofmann:
Agent-Based Phase Space Sampling of Ensembles Using Ripley's K for Homogeneity. PAAMS (Workshops) 2021: 191-202 - 2020
- [j3]Jörg Bremer, Sebastian Lehnhoff:
Phase-space exploration of unit ensembles in energy management. Autom. 68(2): 89-96 (2020) - [c47]Jörg Bremer, Sebastian Lehnhoff:
Constrained Scheduling of Step-Controlled Buffering Energy Resources with Ant Colony Optimization. ANTS Conference 2020: 68-81 - [c46]Jörg Bremer, Sebastian Lehnhoff:
Controlled Self-organization for Steering Local Multi-objective Optimization in Virtual Power Plants. PAAMS (Workshops) 2020: 314-325
2010 – 2019
- 2019
- [c45]Jörg Bremer, Sebastian Lehnhoff:
Towards fully Decentralized Multi-Objective Energy Scheduling. FedCSIS 2019: 193-201 - [c44]Jörg Bremer, Sebastian Lehnhoff:
Lazy Agents for Large Scale Global Optimization. ICAART (1) 2019: 72-79 - [c43]Jörg Bremer, Sebastian Lehnhoff:
The Effect of Laziness on Agents for Large Scale Global Optimization. ICAART (Revised Selected Papers) 2019: 317-337 - [c42]Jörg Bremer, Sebastian Lehnhoff:
Encrypted Decentralized Optimization for Data Masking in Energy Scheduling. ICBDR 2019: 103-109 - 2018
- [c41]Jörg Bremer, Sebastian Lehnhoff:
Phase-Space Sampling of Energy Ensembles with CMA-ES. EvoApplications 2018: 222-230 - [c40]Jörg Bremer, Sebastian Lehnhoff:
Sensitivity in Multi-Ensemble Scheduling. FedCSIS 2018: 215-223 - [c39]Jörg Bremer, Sebastian Lehnhoff:
Hybridizing S-Metric Selection and Support Vector Decoder for Constrained Multi-objective Energy Management. HIS 2018: 249-259 - [c38]Jörg Bremer, Sebastian Lehnhoff:
Unfolding Ensemble Training Sets for Improved Support Vector Decoders in Energy Management. ICAART (2) 2018: 322-329 - [c37]Jörg Bremer, Sebastian Lehnhoff:
A Cascading Chi-shapes based Decoder for Constraint-handling in Distributed Energy Management. IJCCI 2018: 184-191 - 2017
- [c36]Jörg Bremer, Sebastian Lehnhoff:
Hybrid Multi-ensemble Scheduling. EvoApplications (1) 2017: 342-358 - [c35]Astrid Nieße, Jörg Bremer, Sebastian Lehnhoff:
On local minima in distributed energy scheduling. FedCSIS (Position Papers) 2017: 61-68 - [c34]Hendrik Buhl, Tim Dombrowski, Erik Hogen, Maximilian Kreutz, Daniel Palm, Sanja Stark, Peer Stubbe, Stephanie Warsch, Jörg Bremer, Sebastian Lehnhoff, Michael Sonnenschein:
Ein Algorithmus für den Wiederaufbau eines Smart Grid nach einem Blackout. GI-Jahrestagung 2017: 1937-1948 - [c33]Jörg Bremer, Sebastian Lehnhoff:
An Agent-based Approach to Decentralized Global Optimization - Adapting COHDA to Coordinate Descent. ICAART (1) 2017: 129-136 - [c32]Jörg Bremer, Sebastian Lehnhoff:
Decentralized Surplus Distribution Estimation with Weighted k-Majority Voting Games. PAAMS (Workshops) 2017: 327-339 - 2016
- [c31]Jörg Bremer, Sebastian Lehnhoff:
A Decentralized PSO with Decoder for Scheduling Distributed Electricity Generation. EvoApplications (1) 2016: 427-442 - [c30]Christian Hinrichs, Jörg Bremer, Sönke Martens, Michael Sonnenschein:
Partitioning the Data Domain of Combinatorial Problems for Sequential Optimization. FedCSIS 2016: 551-559 - [c29]Astrid Nieße, Michael Sonnenschein, Christian Hinrichs, Jörg Bremer:
Local Soft Constraints in Distributed Energy Scheduling. FedCSIS 2016: 1517-1525 - [c28]Jörg Bremer, Sebastian Lehnhoff:
Modeling Uncertainty in Support Vector Surrogates of Distributed Energy Resources - Enabling Robust Smart Grid Scheduling. ICAART (2) 2016: 42-50 - [c27]Jörg Bremer, Sebastian Lehnhoff:
Enhancing Support Vector Decoders by Integrating an Uncertainty Model. ICAART (Revised Selected Papers) 2016: 114-132 - [c26]Jörg Bremer, Sebastian Lehnhoff:
A Quantum Field Evolution Strategy - An Adaptive Surrogate Approach. IJCCI (ECTA) 2016: 21-29 - [c25]Judith Neugebauer, Jörg Bremer, Christian Hinrichs, Oliver Kramer, Michael Sonnenschein:
Generalized cascade classification model with customized transformation based ensembles. IJCNN 2016: 4056-4063 - [c24]Jörg Bremer, Sebastian Lehnhoff:
Decentralized Coalition Formation in Agent-Based Smart Grid Applications. PAAMS (Workshops) 2016: 343-355 - [c23]Jörg Bremer, Sebastian Lehnhoff:
A hybrid CMA-ES approach for distributed grid compliant energy scheduling. SSCI 2016: 1-8 - 2015
- [p1]Jörg Bremer:
Constraint-Handling mit Supportvektor-Dekodern in der verteilten Optimierung. Ausgezeichnete Informatikdissertationen 2015: 31-40 - 2014
- [c22]Jörg Bremer, Michael Sonnenschein:
Parallel tempering for constrained many criteria optimization in dynamic virtual power plants. CIASG 2014: 51-58 - [c21]Astrid Nieße, Sebastian Beer, Jörg Bremer, Christian Hinrichs, Ontje Lünsdorf, Michael Sonnenschein:
Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants. FedCSIS 2014: 1505-1514 - 2013
- [j2]Jörg Bremer, Michael Sonnenschein:
Model-based integration of constrained search spaces into distributed planning of active power provision. Comput. Sci. Inf. Syst. 10(4): 1823-1854 (2013) - [c20]Jörg Bremer, Michael Sonnenschein:
Kommunikation von Umweltkennzahlen im Smart Grid und deren Integration in die verteilte Wirkleistungsplanung. BUIS-Tage 2013: 35-47 - [c19]Jörg Bremer, Michael Sonnenschein:
Sampling the Search Space of Energy Resources for Self-organized, Agent-based Planning of Active Power Provision. EnviroInfo 2013: 214-222 - [c18]Jörg Bremer, Michael Sonnenschein:
Automatic Reconstruction of Performance Indicators from Support Vector based Search Space Models in Distributed Real Power Planning Scenarios. GI-Jahrestagung 2013: 1441-1454 - [c17]Jörg Bremer, Michael Sonnenschein:
Constraint-handling for Optimization with Support Vector Surrogate Models - A Novel Decoder Approach. ICAART (2) 2013: 91-100 - [c16]Jörg Bremer, Michael Sonnenschein:
Constraint-Handling with Support Vector Decoders. ICAART (Revised Selected Papers) 2013: 228-244 - [c15]Christian Hinrichs, Jörg Bremer, Michael Sonnenschein:
Distributed hybrid constraint handling in large scale virtual power plants. ISGT Europe 2013: 1-5 - [c14]Jörg Bremer, Michael Sonnenschein:
Estimating Shapley Values for Fair Profit Distribution in Power Planning Smart Grid Coalitions. MATES 2013: 208-221 - 2012
- [c13]Jörg Bremer, Tariq Mahmoud, Barbara Rapp:
Implementing CEMIS Workflows with State Chart XML. EnviroInfo 2012: 749-757 - [c12]Barbara Rapp, Jörg Bremer:
Design of an Event Engine for Next Generation CEMIS: A Use Case. EnviroInfo 2012: 759-766 - [c11]Jörg Bremer, Michael Sonnenschein:
A Distributed Greedy Algorithm for Constraint-based Scheduling of Energy Resources. FedCSIS 2012: 1285-1292 - [c10]Jörg Bremer:
Ontology based Description of DER's Learned Environmental Performance Indicators - Managing the Environmental Performance of Distributed Energy Resources. SMARTGREENS 2012: 107-112 - 2011
- [c9]Jörg Bremer, Barbara Rapp
, Michael Sonnenschein:
Encoding distributed search spaces for virtual power plants. CIASG 2011: 9-16 - [c8]Barbara Rapp, Andreas Solsbach, Tariq Mahmoud, Ammar Memari, Jörg Bremer:
IT-for-Green: Next Generation CEMIS for Environmental, Energy and Resource Management. EnviroInfo 2011: 573-581 - [c7]Jörg Bremer, Barbara Rapp
, Michael Sonnenschein:
Including Environmental Performance Indicators into Kernel based Search Space Representations. ITEE 2011: 275-288 - [c6]Barbara Rapp
, Jörg Bremer, Michael Sonnenschein:
Sustainable, Multi-Criteria Biomass Procurement: A Game Theoretical Approach. ITEE 2011: 341-353 - 2010
- [j1]Barbara Rapp, Jörg Bremer, Michael Sonnenschein, Jorge Marx Gómez:
Ontologiebasierte Kaskadennutzung von Rohstoffen. HMD Prax. Wirtsch. 274: 47-55 (2010) - [c5]Barbara Rapp, Jörg Bremer, Michael Sonnenschein:
Simulating the transport performance of online traded biomass. EnviroInfo 2010: 657-666 - [c4]Jörg Bremer, Barbara Rapp
, Michael Sonnenschein:
Support vector based encoding of distributed energy resources' feasible load spaces. ISGT Europe 2010: 1-8
2000 – 2009
- 2009
- [c3]Jörg Bremer, Barbara Rapp, Frank Jellinghaus, Michael Sonnenschein:
Tools for Teaching Demand-Side Management. EnviroInfo (1) 2009: 475-483 - 2008
- [c2]Moritz Eysholdt, Ulrich Denecke, Michael Belasus, Christian Bley, Mark Eilers, Michael Erlmann, Christian Hinrichs, Malte Hurrelmann, Jörg Bremer, Barbara Rapp, Michael Sonnenschein, Ute Vogel:
A Tool for Modeling and Optimization of Residential Electricity Consumption. EnviroInfo 2008: 319-326 - 2006
- [c1]Michael Sonnenschein, Michael Stadler, Barbara Rapp, Jörg Bremer, Stefan Brunhorn:
A Modelling and Simulation Environment for Real-time Pricing Scenarios in Energy Markets. EnviroInfo 2006: 153-161
Coauthor Index
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