Blar i SINTEF Open på forfatter "Aasgård, Ellen Krohn"
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Applying successive linear programming for stochastic short-term hydropower optimization
Belsnes, Michael Martin; Wolfgang, Ove; Follestad, Turid; Aasgård, Ellen Krohn (Journal article; Peer reviewed, 2016)We present a model for operational stochastic short-term hydropower scheduling, taking into account the uncertainty in future prices and inflow, and illustrate how the benefits of using a stochastic rather than a deterministic ... -
Backtesting coordinated hydropower bidding using neural network forecasting
Bringedal, Amanda Sæbø; Søvikhagen, Anne-Marthe; Aasgård, Ellen Krohn; Fleten, Stein-Erik (Peer reviewed; Journal article, 2021) -
Comparing Bidding Methods for Hydropower
Aasgård, Ellen Krohn; Skjelbred, Hans Ivar; Solbakk, Fredrik (Journal article; Peer reviewed, 2016)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, ... -
Optimizing day-ahead bid curves in hydropower production
Aasgård, Ellen Krohn; Naversen, Christian Øyn; Fodstad, Marte; Skjelbred, Hans Ivar (Journal article; Peer reviewed, 2017)In deregulated electricity markets, hydropower producers must bid their production into the day-ahead market. For price-taking producers, it is optimal to offer energy according to marginal costs, which for hydropower are ... -
Progressive hedging for stochastic programs with cross scenario inequality constraints
Aasgård, Ellen Krohn; Skjelbred, Hans Ivar (Journal article; Peer reviewed, 2020)In this paper, we show how progressive hedging may be used to solve stochastic programming problems that involve cross-scenario inequality constraints. In contrast, standard stochastic programs involve cross-scenario ... -
Validating the SHARM model
Aasgård, Ellen Krohn; Bolkesjø, Tor Halvor; Johnsen, Rita Iren; Kristiansen, Fredd; Larsen, Tellef Juell; Riddervold, Hans Ole; Røynstrand, Jarand; Soknes, Dan; Skjelbred, Hans Ivar (SINTEF Energi. Rapport;TR A7521, Research report, 2015)