Výsledky vyhledávání - "Khalloof, Hatem"

Report

A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics

Autor: Khalloof, Hatem, Jakob, Wilfried, Shahoud, Shadi, Duepmeier, Clemens, Hagenmeyer, Veit

Recent years have seen an increasing integration of distributed renewable energy resources into existing electric power grids. Due to the uncertain nature of renewable energy resources, network operators are faced with new challenges in balancing loa

Externí odkaz: http://arxiv.org/abs/2002.07505

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Akademický článek

A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics

Autor: Khalloof, Hatem, Mohammad, Mohammad, Shahoud, Shadi, Duepmeier, Clemens, Hagenmeyer, Veit

Publikováno v: In Internet of Things December 2021 16

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Akademický článek

An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies

Autor: Shahoud, Shadi, Winter, Moritz, Khalloof, Hatem, Duepmeier, Clemens, Hagenmeyer, Veit

Publikováno v: In Internet of Things December 2021 16

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Conference

Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting.

Autor: Shahoud, Shadi, Khalloof, Hatem, Duepmeier, Clemens, Hagenmeyer, Veit

Publikováno v: ACM International Conference Proceeding Series; 1/7/2020, p1-6, 6p

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