Description
This dataset helps explore the question of optimal bidding strategies of a time-shiftable electrical load in simultaneous auctions. The provided python code contains the solvers, as described in the referenced publication, setups and data visualizations. The resulting data describes the convergence rate of the solver as well as performance both in terms of cost and number of auctions won.
| Date made available | 18 Mar 2026 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Research output
- 1 Conference contribution
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Towards Optimal Demand-Side Bidding in Parallel Auctions for Time-Shiftable Electrical Loads
Saur, R., la Poutré, H. & Yorke-Smith, N., Jul 2020, 2020 IEEE 18th International Conference on Industrial Informatics (INDIN): Proceedings. Piscataway: IEEE, p. 340-347 8 p. 9442077Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile
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