Description
This dataset helps explore the question of whether approximately incentive compatible mechanisms can provide sufficient incentive under epistemic uncertainty. The dataset is self contained. Two python scripts generate data in the form of .csv files. The resulting data describes Gaussian distributions, approximations thereof and the effect of misreporting on both the individual and system outcome.
| Date made available | 18 Mar 2026 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
Research output
- 1 Conference contribution
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Incentives for Accurate Energy Predictions: How to Reduce Epistemic Uncertainty
Saur, R., la Poutré, J. A. & Yorke-Smith, N., 2024, Proceedings of the e-Energy '24. p. 192 - 202Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile
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