Energy markets - Photo: Colourbox

Stochastic complementarity models within energy markets

The newly established stochastic complementarity optimization tools are properly compatible with most decision-making problems within energy markets, since they appropriately model the markets functioning while representing the potential uncertainties plaguing markets.

Accordingly, the applicability of stochastic complementarity tools into the following research works related to the energy markets are expected to be investigated:

• Strategic ramp offering of a producer in a renewable-integrated electricity market
• Optimal long-term strategy of a trader in a renewable-integrated electricity market
• Optimal decisions of a distribution operator considering diverse distribution energy resources
• Optimal network simplification of a renewable-integrated power system
• Strategic offering of a gas-fired electricity producer considering interactions between electricity and gas markets
• Strategic wind producer in a two-settlement electricity market.

Supported by the Danish projects PROAIN and “5s” (Danish Strategic Research Council) 

Publikationer rss feed

2024
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A Market for Trading Forecasts: A Wagering Mechanism

Raja, Aitazaz Ali ; Pinson, Pierre ; Kazempour, Jalal ; Grammatico, Sergio
in: International Journal of Forecasting, vol: 40, issue: 1, pages: 142-159

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1016/j.ijforecast.2023.01.007

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Electrolysis as a Flexibility Resource on Energy Islands: The Case of the North Sea

Lüth, Alexandra ; Werner, Yannick ; Egging-Bratseth, Ruud ; Kazempour, Jalal
in: Energy Policy

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1016/j.enpol.2023.113921

 

Feature-Driven Strategies for Trading Wind Power and Hydrogen

Helgren, Emil ; Kazempour, Jalal ; Mitridati, Lesia
in: Electric Power Systems Research

Type: Journal article (Peer reviewed)

Status: Accepted/In press     |    Year: 2024

 

Feature-Driven Strategies for Trading Wind Power and Hydrogen

Helgren, Emil ; Kazempour, Jalal ; Mitridati, Lesia
Presented at:
XXIII Power Systems Computation Conference

Type: Paper (Peer reviewed)

Status: Accepted/In press     |    Year: 2024

 

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm

Abate, Arega Getaneh ; Majdi, Dorsa ; Kazempour, Jalal ; Kamgarpour, Maryam
Presented at:
XXIII Power Systems Computation Conference

Type: Paper (Peer reviewed)

Status: Accepted/In press     |    Year: 2024

 

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm

Abate, Arega Getaneh ; Majdi, Dorsa ; Kazempour, Jalal ; Kamgarpour, Maryam
in: Electric Power Systems Research

Type: Journal article (Peer reviewed)

Status: Accepted/In press     |    Year: 2024

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Load shifting versus manual frequency reserve: Which one is more appealing to Thermostatically Controlled Loads in Denmark?

Gade, Peter A.V. ; Skjøtskift, Trygve ; Ziras, Charalampos ; Bindner, Henrik W. ; Kazempour, Jalal
in: Electric Power Systems Research, vol: 232

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1016/j.epsr.2024.110364

 

On the Efficiency of Energy Markets with Non-Merchant Storage

Frölke, Linde ; Prat, Eléa ; Pinson, Pierre ; Lusby, Richard M. ; Kazempour, Jalal
in: Energy Systems

Type: Journal article (Peer reviewed)

Status: Accepted/In press     |    Year: 2024     |    DOI: https://doi.org/10.1007/s12667-024-00660-0

2023
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A Conic Model for Electrolyzer Scheduling

Raheli, Enrica ; Werner, Yannick ; Kazempour, Jalal
in: Computers & Chemical Engineering, vol: 179

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2023     |    DOI: https://doi.org/10.1016/j.compchemeng.2023.108450

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Electrolyzer Scheduling for Nordic FCR Services

Saretta, Marco ; Raheli, Enrica ; Kazempour, Jalal
part of: Proceedings of IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm), 2023
Presented at:
2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2023     |    DOI: https://doi.org/10.1109/SmartGridComm57358.2023.10333890