A Modelling and Simulation Environment for Real-time Pricing Scenarios in Energy Markets. - Michael Sonnenschein; Michael Stadler; Barbara Rapp; Jörg Bremer; Stefan Brunhorn (EnviroInfo, 2006)

A Tool for Modeling and Optimization of Residential Electricity Consumption. - Moritz Eysholdt; Ulrich Denecke; Michael Belasus; Christian Bley; Mark Eilers; Michael Erlmann; Christian Hinrichs; Malte Hurrelmann; Jörg Bremer; Barbara Rapp; Michael Sonnenschein; Ute Vogel (EnviroInfo, 2008)

Tools for Teaching Demand-Side Management. - Jörg Bremer; Barbara Rapp; Frank Jellinghaus; Michael Sonnenschein (EnviroInfo (1), 2009)

Bringing Sustainability to the Daily Business: The OEPI Project. - Daniel Meyerholt; Jorge Marx Gómez; Ali Dada; Jörg Bremer; Barbara Rapp (ENVIP@EnviroInfo, 2010)

Simulating the transport performance of online traded biomass. - Barbara Rapp; Jörg Bremer; Michael Sonnenschein (EnviroInfo, 2010)

Support vector based encoding of distributed energy resources' feasible load spaces. - Jörg Bremer; Barbara Rapp; Michael Sonnenschein (ISGT Europe, 2010)

Ontologiebasierte Kaskadennutzung von Rohstoffen. - Barbara Rapp; Jörg Bremer; Michael Sonnenschein; Jorge Marx Gómez (HMD Prax. Wirtsch., 2010)

Encoding distributed search spaces for virtual power plants. - Jörg Bremer; Barbara Rapp; Michael Sonnenschein (CIASG, 2011)

IT-for-Green: Next Generation CEMIS for Environmental, Energy and Resource Management. - Barbara Rapp; Andreas Solsbach; Tariq Mahmoud; Ammar Memari; Jörg Bremer (EnviroInfo, 2011)

Including Environmental Performance Indicators into Kernel based Search Space Representations. - Jörg Bremer; Barbara Rapp; Michael Sonnenschein (ITEE, 2011)

Sustainable, Multi-Criteria Biomass Procurement: A Game Theoretical Approach. - Barbara Rapp; Jörg Bremer; Michael Sonnenschein (ITEE, 2011)

Implementing CEMIS Workflows with State Chart XML. - Jörg Bremer; Tariq Mahmoud; Barbara Rapp (EnviroInfo, 2012)

Design of an Event Engine for Next Generation CEMIS: A Use Case. - Barbara Rapp; Jörg Bremer (EnviroInfo, 2012)

A Distributed Greedy Algorithm for Constraint-based Scheduling of Energy Resources. - Jörg Bremer; Michael Sonnenschein (FedCSIS, 2012)

Ontology based Description of DER's Learned Environmental Performance Indicators - Managing the Environmental Performance of Distributed Energy Resources. - Jörg Bremer (SMARTGREENS, 2012)

Kommunikation von Umweltkennzahlen im Smart Grid und deren Integration in die verteilte Wirkleistungsplanung. - Jörg Bremer; Michael Sonnenschein (BUIS-Tage, 2013)

Sampling the Search Space of Energy Resources for Self-organized, Agent-based Planning of Active Power Provision. - Jörg Bremer; Michael Sonnenschein (EnviroInfo, 2013)

Automatic Reconstruction of Performance Indicators from Support Vector based Search Space Models in Distributed Real Power Planning Scenarios. - Jörg Bremer; Michael Sonnenschein (GI-Jahrestagung, 2013)

Constraint-handling for Optimization with Support Vector Surrogate Models - A Novel Decoder Approach. - Jörg Bremer; Michael Sonnenschein (ICAART (2), 2013)

Constraint-Handling with Support Vector Decoders. - Jörg Bremer; Michael Sonnenschein (ICAART (Revised Selected Papers), 2013)

Distributed hybrid constraint handling in large scale virtual power plants. - Christian Hinrichs; Jörg Bremer; Michael Sonnenschein (ISGT Europe, 2013)

Estimating Shapley Values for Fair Profit Distribution in Power Planning Smart Grid Coalitions. - Jörg Bremer; Michael Sonnenschein (MATES, 2013)

Model-based integration of constrained search spaces into distributed planning of active power provision. - Jörg Bremer; Michael Sonnenschein (Comput. Sci. Inf. Syst., 2013)

Parallel tempering for constrained many criteria optimization in dynamic virtual power plants. - Jörg Bremer; Michael Sonnenschein (CIASG, 2014)

Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants. - Astrid Nieße; Sebastian Beer; Jörg Bremer; Christian Hinrichs; Ontje Lünsdorf; Michael Sonnenschein (FedCSIS, 2014)

Constraint-Handling mit Supportvektor-Dekodern in der verteilten Optimierung. - Jörg Bremer (Ausgezeichnete Informatikdissertationen, 2015)

A Decentralized PSO with Decoder for Scheduling Distributed Electricity Generation. - Jörg Bremer; Sebastian Lehnhoff (EvoApplications (1), 2016)

Partitioning the Data Domain of Combinatorial Problems for Sequential Optimization. - Christian Hinrichs; Jörg Bremer; Sönke Martens; Michael Sonnenschein (FedCSIS, 2016)

Local Soft Constraints in Distributed Energy Scheduling. - Astrid Nieße; Michael Sonnenschein; Christian Hinrichs; Jörg Bremer (FedCSIS, 2016)

Modeling Uncertainty in Support Vector Surrogates of Distributed Energy Resources - Enabling Robust Smart Grid Scheduling. - Jörg Bremer; Sebastian Lehnhoff (ICAART (2), 2016)

Enhancing Support Vector Decoders by Integrating an Uncertainty Model. - Jörg Bremer; Sebastian Lehnhoff (ICAART (Revised Selected Papers), 2016)

A Quantum Field Evolution Strategy - An Adaptive Surrogate Approach. - Jörg Bremer; Sebastian Lehnhoff (IJCCI (ECTA), 2016)

Generalized cascade classification model with customized transformation based ensembles. - Judith Neugebauer; Jörg Bremer; Christian Hinrichs; Oliver Kramer 001; Michael Sonnenschein (IJCNN, 2016)

Decentralized Coalition Formation in Agent-Based Smart Grid Applications. - Jörg Bremer; Sebastian Lehnhoff (PAAMS (Workshops), 2016)

A hybrid CMA-ES approach for distributed grid compliant energy scheduling. - Jörg Bremer; Sebastian Lehnhoff (SSCI, 2016)

Hybrid Multi-ensemble Scheduling. - Jörg Bremer; Sebastian Lehnhoff (EvoApplications (1), 2017)

On local minima in distributed energy scheduling. - Astrid Nieße; Jörg Bremer; Sebastian Lehnhoff (FedCSIS (Position Papers), 2017)

Ein Algorithmus für den Wiederaufbau eines Smart Grid nach einem Blackout. - Hendrik Buhl; Tim Dombrowski; Erik Hogen; Maximilian Kreutz; Daniel Palm; Sanja Stark; Peer Stubbe; Stephanie Warsch; Jörg Bremer; Sebastian Lehnhoff; Michael Sonnenschein (GI-Jahrestagung, 2017)

An Agent-based Approach to Decentralized Global Optimization - Adapting COHDA to Coordinate Descent. - Jörg Bremer; Sebastian Lehnhoff (ICAART (1), 2017)

Decentralized Surplus Distribution Estimation with Weighted k-Majority Voting Games. - Jörg Bremer; Sebastian Lehnhoff (PAAMS (Workshops), 2017)

Phase-Space Sampling of Energy Ensembles with CMA-ES. - Jörg Bremer; Sebastian Lehnhoff (EvoApplications, 2018)

Sensitivity in Multi-Ensemble Scheduling. - Jörg Bremer; Sebastian Lehnhoff (FedCSIS, 2018)

Hybridizing S-Metric Selection and Support Vector Decoder for Constrained Multi-objective Energy Management. - Jörg Bremer; Sebastian Lehnhoff (HIS, 2018)

Unfolding Ensemble Training Sets for Improved Support Vector Decoders in Energy Management. - Jörg Bremer; Sebastian Lehnhoff (ICAART (2), 2018)

A Cascading Chi-shapes based Decoder for Constraint-handling in Distributed Energy Management. - Jörg Bremer; Sebastian Lehnhoff (IJCCI, 2018)

Towards fully Decentralized Multi-Objective Energy Scheduling. - Jörg Bremer; Sebastian Lehnhoff (FedCSIS, 2019)

Lazy Agents for Large Scale Global Optimization. - Jörg Bremer; Sebastian Lehnhoff (ICAART (1), 2019)

The Effect of Laziness on Agents for Large Scale Global Optimization. - Jörg Bremer; Sebastian Lehnhoff (ICAART (Revised Selected Papers), 2019)

Encrypted Decentralized Optimization for Data Masking in Energy Scheduling. - Jörg Bremer; Sebastian Lehnhoff (ICBDR, 2019)

Constrained Scheduling of Step-Controlled Buffering Energy Resources with Ant Colony Optimization. - Jörg Bremer; Sebastian Lehnhoff (ANTS Conference, 2020)

Controlled Self-organization for Steering Local Multi-objective Optimization in Virtual Power Plants. - Jörg Bremer; Sebastian Lehnhoff (PAAMS (Workshops), 2020)

Phase-space exploration of unit ensembles in energy management. - Jörg Bremer; Sebastian Lehnhoff (Autom., 2020)

Towards Evolutionary Emergence. - Jörg Bremer; Sebastian Lehnhoff (FedCSIS (Position Papers), 2021)

Agent-Based Phase Space Sampling of Ensembles Using Ripley's K for Homogeneity. - Jörg Bremer; Johannes Gerster; Birk Brückner; Marcel Sarstedt; Sebastian Lehnhoff; Lutz Hofmann (PAAMS (Workshops), 2021)

Ant colony optimization for feasible scheduling of step-controlled smart grid generation. - Jörg Bremer; Sebastian Lehnhoff (Swarm Intell., 2021)

Information Disclosure in VPP - Information Disclosure by Decentralized Coordination in Virtual Power Plants and District Energy Systems. - Jörg Bremer; Sebastian Lehnhoff (EnviroInfo, 2022)

Fully Distributed Cartesian Genetic Programming. - Jörg Bremer; Sebastian Lehnhoff (PAAMS, 2022)

Masking Sensitive Data in Self-Organized Smart Region Orchestration. - Barbara Rapp; Jörg Bremer (ICIEI, 2023)

Integrating Agent-Based Control for Normal Operation in Interconnected Power and Communication Systems Simulation. - Malin Radtke; Christoph Stucke; Malte Trauernicht; Carsten Montag; Frauke Oest; Emilie Frost; Jörg Bremer; Sebastian Lehnhoff (SSCI, 2023)

Hybridizing Lévy Flights and Cartesian Genetic Programming for Learning Swarm-Based Optimization. - Jörg Bremer; Sebastian Lehnhoff (UKCI, 2023)

Enhancing Local Decisions in Agent-Based Cartesian Genetic Programming by CMA-ES. - Jörg Bremer; Sebastian Lehnhoff (Syst., 2023)

The Effect of the Hypersphere Volume Anomaly on Generative Support Vector Decoders. - Jörg Bremer; Sebastian Lehnhoff (UKCI, 2024)

Privacy-preserving Self-organization in Algorithmic-level Decomposed Predictive Scheduling. - Jörg Bremer; Sebastian Lehnhoff (e-Energy, 2025)

Privacy-Preserving Self-Organization in Distributed Energy Scheduling. - Jörg Bremer; Sebastian Lehnhoff (ICAART (1), 2025)