Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

The complexity of Mixed-Integer Linear Programs (MILPs) increases with the number of nodes in energy system models. An increasing complexity constitutes a high computational load that can limit the scale of the energy system model. Hence, methods are sought to reduce this complexity. In this paper,...

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Detalhes bibliográficos

Principais autores:	Timo Kannengießer, Maximilian Hoffmann, Leander Kotzur, Peter Stenzel, Fabian Schuetz, Klaus Peters, Stefan Nykamp, Detlef Stolten, Martin Robinius
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2019-07-01
coleção:	Energies
Assuntos:	MILP district optimization energy system model time series aggregation typical periods
Acesso em linha:	https://www.mdpi.com/1996-1073/12/14/2825
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