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
OpenAIRE Downloads
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Publicly Funded
No
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 Citation Count
8
Source
Local Electricity Markets
Volume
Issue
Start Page
177
End Page
197
Collections
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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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