How JuMP Enables Abstract Energy System Models

Stefan Strömer

How JuMP Enables Abstract Energy System Models

Integrated Energy Systems

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation

Abstract

This presentation primarily addresses the following topics regarding the novel energy system model: (1) the unique features of its underlying model structure that distinguish it from conventional energy system models, (2) the advantages of using JuMP for solving various types of energy system models, (3) the automated conversion of optimization models formulated using JuMP into LaTex code to facilitate model validation and formulation extraction, and (4) internal details pertaining to the model architecture.

Original language	English
Title of host publication	List of Talks: JuliaCon 2023
Publication status	Published - 27 Jul 2023
Event	JuliaCon 2023: Co-Located with JuMP-dev, SciMLCon and ASE60 - Ray and Maria Stata Centre at the Massachusetts Institute of Technology, Cambridge, United States Duration: 25 Jul 2023 → 29 Jul 2023 https://juliacon.org/2023/

Conference

Conference	JuliaCon 2023
Abbreviated title	JuliaCon 2023
Country/Territory	United States
City	Cambridge
Period	25/07/23 → 29/07/23
Internet address	https://juliacon.org/2023/

Research Field

Former Research Field - Integrated Energy Systems

Keywords

energy system modelling
parametric models
model validation
formulation extraction
model architecture

Cite this

@inproceedings{6f08f5eb2fff4c96a89f0e27f9428cb4,

title = "How JuMP Enables Abstract Energy System Models",

abstract = "This presentation primarily addresses the following topics regarding the novel energy system model: (1) the unique features of its underlying model structure that distinguish it from conventional energy system models, (2) the advantages of using JuMP for solving various types of energy system models, (3) the automated conversion of optimization models formulated using JuMP into LaTex code to facilitate model validation and formulation extraction, and (4) internal details pertaining to the model architecture.",

keywords = "energy system modelling, parametric models, model validation, formulation extraction, model architecture",

author = "Stefan Str{\"o}mer",

year = "2023",

month = jul,

day = "27",

language = "English",

booktitle = "List of Talks: JuliaCon 2023",

note = "JuliaCon 2023 : Co-Located with JuMP-dev, SciMLCon and ASE60, JuliaCon 2023 ; Conference date: 25-07-2023 Through 29-07-2023",

url = "https://juliacon.org/2023/",

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T1 - How JuMP Enables Abstract Energy System Models

AU - Strömer, Stefan

PY - 2023/7/27

Y1 - 2023/7/27

N2 - This presentation primarily addresses the following topics regarding the novel energy system model: (1) the unique features of its underlying model structure that distinguish it from conventional energy system models, (2) the advantages of using JuMP for solving various types of energy system models, (3) the automated conversion of optimization models formulated using JuMP into LaTex code to facilitate model validation and formulation extraction, and (4) internal details pertaining to the model architecture.

AB - This presentation primarily addresses the following topics regarding the novel energy system model: (1) the unique features of its underlying model structure that distinguish it from conventional energy system models, (2) the advantages of using JuMP for solving various types of energy system models, (3) the automated conversion of optimization models formulated using JuMP into LaTex code to facilitate model validation and formulation extraction, and (4) internal details pertaining to the model architecture.

KW - energy system modelling

KW - parametric models

KW - model validation

KW - formulation extraction

KW - model architecture

UR - https://pretalx.com/juliacon2023/talk/C7DFSF/

M3 - Conference Proceedings with Oral Presentation

BT - List of Talks: JuliaCon 2023

T2 - JuliaCon 2023

Y2 - 25 July 2023 through 29 July 2023

ER -

How JuMP Enables Abstract Energy System Models

Abstract

Conference

Research Field

Keywords

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