Data Repository for 'Bootstrap aggregation and cross-validation methods to reduce overfitting in reservoir control policy search'

Authors:
Zachary Paul BrodeurScott S. SteinschneiderJonathan D. Herman
Owners: Zachary Paul Brodeur
  • Contributions
    Joined

Type: Resource
Storage: The size of this resource is 8.3 MB
Created: Jan 20, 2020 at 7:42 p.m.
Last updated: Jun 24, 2020 at 1:46 p.m. (Metadata update)
Published date: Jun 24, 2020 at 1:46 p.m.
DOI: 10.4211/hs.b8f87a7b680d44cebfb4b3f4f4a6a447
Citation: See how to cite this resource
Sharing Status: Published
Views: 2181
Downloads: 43
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

Policy search methods provide a heuristic mapping between observations and decisions and have been widely used in reservoir control studies. However, recent studies have observed a tendency for policy search methods to overfit to the hydrologic data used in training, particularly the sequence of flood and drought events. This technical note develops an extension of bootstrap aggregation (bagging) and cross-validation techniques, inspired by the machine learning literature, to improve control policy performance on out-of-sample hydrology. We explore these methods using a case study of Folsom Reservoir, California using control policies structured as binary trees and daily streamflow resampling based on the paleo-inflow record. Results show that calibration-validation strategies for policy selection and certain ensemble aggregation methods can improve out-of-sample tradeoffs between water supply and flood risk objectives over baseline performance given fixed computational costs. These results highlight the potential to improve policy search methodologies by leveraging well-established model training strategies from machine learning.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Folsom Reservoir Watershed
North Latitude
39.0000°
East Longitude
-120.0000°
South Latitude
38.0000°
West Longitude
-121.0000°

Temporal

Start Date: 10/01/1922
End Date: 09/30/2016
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

Related Resources

This resource is referenced by Brodeur, Z., Herman, J. D., & Steinschneider, S. S. (2020). Bootstrap aggregation and cross-validation methods to reduce overfitting in reservoir control policy search. Accepted in AGU Journal Water Resources Research, June 2020

How to Cite

Brodeur, Z. P., S. S. Steinschneider, J. D. Herman (2020). Data Repository for 'Bootstrap aggregation and cross-validation methods to reduce overfitting in reservoir control policy search', HydroShare, https://doi.org/10.4211/hs.b8f87a7b680d44cebfb4b3f4f4a6a447

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required