Aasgård, Ellen Krohn
Overview
Works: | 4 works in 4 publications in 1 language and 7 library holdings |
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Roles: | Author |
Classifications: | HD30.23, 330 |
Publication Timeline
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Most widely held works by
Ellen Krohn Aasgård
Optimizing day-ahead bid curves in hydropower production by
Ellen Krohn Aasgård(
)
1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide
Hydropower bidding in a multi-market setting by
Ellen Krohn Aasgård(
)
1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide
Progressive hedging for stochastic programs with cross-scenario inequality constraints by
Ellen Krohn Aasgård(
)
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
Comparing Bidding Methods for Hydropower(
)
1 edition published in 2016 in English and held by 1 WorldCat member library worldwide
Abstract: In this paper we compare several methods used by hydropower producers for the determination of bids to the day-ahead market. The methods currently used by the hydropower industry are based on heuristics and expert assessments, but we also include a new method for formal optimization of the bid decisions in our study. The optimization of bids is based on stochastic programming with explicit mathematical representation of the bid decisions, which none of the heuristic methods accommodate. We illustrate the potential benefit from using increasingly complex bidding methods in a case study representing real operating conditions for a hydropower producer on three specific dates
1 edition published in 2016 in English and held by 1 WorldCat member library worldwide
Abstract: In this paper we compare several methods used by hydropower producers for the determination of bids to the day-ahead market. The methods currently used by the hydropower industry are based on heuristics and expert assessments, but we also include a new method for formal optimization of the bid decisions in our study. The optimization of bids is based on stochastic programming with explicit mathematical representation of the bid decisions, which none of the heuristic methods accommodate. We illustrate the potential benefit from using increasingly complex bidding methods in a case study representing real operating conditions for a hydropower producer on three specific dates
Audience Level
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General | Special |

- SpringerLink (Online service) Other
- Skjelbred, Hans Ivar Other
- Naversen, Christian Øyn Other
- Fodstad, Marte Other
- Kaut, Michal Other
- Perez-Valdes, Gerardo A. Other
- Midthun, Kjetil Other
- Fleten, Stein-Erik Other
- Solbakk, Fredrik