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MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power Balance.

, , , and . IEEE Trans. Parallel Distributed Syst., 27 (12): 3532-3546 (2016)

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Porting Grid Applications to the Cloud with Schlouder., , , , and . CloudCom (1), page 505-512. IEEE Computer Society, (2013)Shapelet based classification of customer consumption patterns., and . ISGT Europe, page 1-6. IEEE, (2017)Using cluster information to predict individual customer consumption., and . ISGT Europe, page 1-6. IEEE, (2017)Evaluating Distributed Systems and Applications Through Accurate Models and Simulations., , , , and . Modeling and Simulation in HPC and Cloud Systems, volume 36 of Studies in Big Data, Springer, (2018)Towards Dynamic Demand Response On Efficient Consumer Grouping Algorithmics., , , and . IEEE Trans. Sustain. Comput., 1 (1): 20-34 (2016)Experiences in building a Grid-based platform to serve Earth observation training activities., , , , , , , and . Comput. Stand. Interfaces, 34 (6): 493-508 (2012)Service-oriented Symbolic Computing with SymGrid., , , and . Scalable Computing: Practice and Experience, (2008)Prediction models for dynamic demand response: Requirements, challenges, and insights., , , , , and . SmartGridComm, page 338-343. IEEE, (2015)Estimating Reduced Consumption for Dynamic Demand Response., , , , and . AAAI Workshop: Computational Sustainability, volume WS-15-06 of AAAI Workshops, AAAI Press, (2015)Towards a scalable cloud enabled smart home automation architecture for demand response., and . ISGT Europe, page 1-6. IEEE, (2016)