Modeling, Simulation, and Decision Support

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Date

2021

Authors

Esmaeili Aliabadi, D.
Çelebi, E.
Elhüseyni, M.
Şahin, G.

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

No

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OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Average
Popularity
Top 10%

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Journal Issue

Abstract

Energy markets are intertwined and complex systems that influence and are affected by various sectors such as transportation, industry, and electric power. Solely focusing on the power sector without considering the up-and downstream of the supply chain may produce misleading results. For instance, the mixture of primary energy carriers and the procurement source affect the generation cost of electricity and consequently may alter the decisions of generation companies about future investments. Therefore researchers should carefully decide a reasonable trade-off between complexity and simplicity based on the determined level of detail and questions at hand. In this section, top-down and bottom-up modeling approaches are discussed, with their corresponding pros and cons, in the broader context of energy markets. Then, we focus on different modeling techniques in the established electricity markets. Finally, we demonstrate the unique modeling challenges that should be dealt with in emerging local electricity markets. © 2021 Elsevier Inc.

Description

Keywords

Bottom-up engineering approach, Energy markets, Optimization models, Simulation, Top-down macroeconomic approach, 690, Bottom-up engineering approach, Top-down macroeconomic approach, Energy markets, Optimization models, Simulation

Fields of Science

Citation

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
8

Source

Local Electricity Markets

Volume

Issue

Start Page

177

End Page

197
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Citations

CrossRef : 7

Scopus : 13

Captures

Mendeley Readers : 25

SCOPUS™ Citations

14

checked on Feb 16, 2026

Page Views

5

checked on Feb 16, 2026

Downloads

6

checked on Feb 16, 2026

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14.37018377

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