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Accurate and efficient selection of the best consumption prediction method in smart grids.

, , , and . IEEE BigData, page 721-729. IEEE Computer Society, (2014)

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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)Using cluster information to predict individual customer consumption., and . ISGT Europe, page 1-6. IEEE, (2017)Shapelet based classification of customer consumption patterns., and . ISGT Europe, page 1-6. IEEE, (2017)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)Parallel Cloud Movement Forecasting based on a Modified Boids Flocking Algorithm., , , and . ISPDC, page 89-96. IEEE, (2021)Porting Grid Applications to the Cloud with Schlouder., , , , and . CloudCom (1), page 505-512. IEEE Computer Society, (2013)A Diffusion Adaptation Approach to model Brain Responses in an EEG-based Hyperscanning Study., , and . SSP, page 393-397. IEEE, (2023)Towards a scalable cloud enabled smart home automation architecture for demand response., and . ISGT Europe, page 1-6. IEEE, (2016)Benchmarking the WRF Model on Bluegene/P, Cluster, and Cloud Platforms and Accelerating Model Setup Through Parallel Genetic Algorithms., and . ISPDC, page 78-84. IEEE, (2017)