@inproceedings{GerhardsSanderBelloum2012,
  author    = {Gerhards, Michael and Sander, Volker and Belloum, Adam},
  title     = {About the flexible Migration of Workflow Tasks to Clouds : Combining on- and off-premise Executions of Applications},
  series = {CLOUD COMPUTING 2012 : The Third International Conference on Cloud Computing, GRIDs, and Virtualization ; July 22-27, 2012 - Nice, France},
  booktitle = {CLOUD COMPUTING 2012 : The Third International Conference on Cloud Computing, GRIDs, and Virtualization ; July 22-27, 2012 - Nice, France},
  editor    = {Zimmermann, Wolf and Lee, Yong Woo and Demchenko, Yuri},
  publisher = {IARIA Journals},
  isbn      = {978-1-61208-216-5},
  pages     = {82 -- 87},
  year      = {2012},
  abstract  = {An increasing number of applications target their executions on specific hardware like general purpose Graphics Processing Units. Some Cloud Computing providers offer this specific hardware so that organizations can rent such resources. However, outsourcing the whole application to the Cloud causes avoidable costs if only some parts of the application benefit from the specific expensive hardware. A partial execution of applications in the Cloud is a tradeoff between costs and efficiency. This paper addresses the demand for a consistent framework that allows for a mixture of on- and off-premise calculations by migrating only specific parts to a Cloud. It uses the concept of workflows to present how individual workflow tasks can be migrated to the Cloud whereas the remaining tasks are executed on-premise.},
  language  = {en}
}
@inproceedings{MaurerMiskiwAcostaetal.2023,
  author    = {Maurer, Florian and Miskiw, Kim K. and Acosta, Rebeca Ramirez and Harder, Nick and Sander, Volker and Lehnhoff, Sebastian},
  title     = {Market abstraction of energy markets and policies - application in an agent-based modeling toolbox},
  series = {EI.A 2023: Energy Informatics},
  booktitle = {EI.A 2023: Energy Informatics},
  editor    = {Jorgensen, Bo Norregaard and Pereira da Silva, Luiz Carlos and Ma, Zheng},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-48651-7 (Print)},
  doi       = {10.1007/978-3-031-48652-4_10},
  pages     = {139 -- 157},
  year      = {2023},
  abstract  = {In light of emerging challenges in energy systems, markets are prone to changing dynamics and market design. Simulation models are commonly used to understand the changing dynamics of future electricity markets. However, existing market models were often created with specific use cases in mind, which limits their flexibility and usability. This can impose challenges for using a single model to compare different market designs. This paper introduces a new method of defining market designs for energy market simulations. The proposed concept makes it easy to incorporate different market designs into electricity market models by using relevant parameters derived from analyzing existing simulation tools, morphological categorization and ontologies. These parameters are then used to derive a market abstraction and integrate it into an agent-based simulation framework, allowing for a unified analysis of diverse market designs. Furthermore, we showcase the usability of integrating new types of long-term contracts and over-the-counter trading. To validate this approach, two case studies are demonstrated: a pay-as-clear market and a pay-as-bid long-term market. These examples demonstrate the capabilities of the proposed framework.},
  language  = {en}
}
@inproceedings{GerhardsSanderBelloum2013,
  author    = {Gerhards, Michael and Sander, Volker and Belloum, Adam},
  title     = {Seamlessly enabling the use of cloud resources in workflows},
  series = {Cloud Computing 2013 : The Fourth International Conference on Cloud Computing, GRIDs, and Virtualization : May 27 - June 1, 2013 - Valencia, Spain},
  booktitle = {Cloud Computing 2013 : The Fourth International Conference on Cloud Computing, GRIDs, and Virtualization : May 27 - June 1, 2013 - Valencia, Spain},
  publisher = {Curren},
  address   = {Red Hook, NY},
  organization    = {International Conference on Cloud Computing, GRIDs, and Virtualization <4, 2013, Valencia>},
  isbn      = {978-1-61208-271-4},
  pages     = {108 -- 114},
  year      = {2013},
  language  = {en}
}
@inproceedings{KromeSander2018,
  author    = {Krome, Cornelia and Sander, Volker},
  title     = {Time series analysis with apache spark and its applications to energy informatics},
  series = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  booktitle = {Proceedings of the 7th DACH+ Conference on Energy Informatics},
  doi       = {10.1186/s42162-018-0043-1},
  year      = {2018},
  abstract  = {In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different applications in virtual power plant environments. Other examples of use as intraday price processes, load processes of machines or electric vehicles, real time energy loads of photovoltaic systems and many more time series need to be analysed and predicted. This work gives a short introduction into the project where this study is settled. It describes the time series methods that are used in energy industry for forecasts shortly. As programming technique Apache Spark, which is a strong cluster computing technology, is utilised. Today, single time series can be predicted. The focus of this work is on developing a method to parallel forecasting, to process multiple time series simultaneously with R and Apache Spark.},
  language  = {en}
}