EconPapers    
Economics at your fingertips  
 

Integrating Information, Misinformation and Desire: Improved Weather-Risk Management for the Energy Sector

Leonard A. Smith ()
Additional contact information
Leonard A. Smith: London School of Economics

A chapter in UK Success Stories in Industrial Mathematics, 2016, pp 289-296 from Springer

Abstract: Abstract Weather-risk management has many facets. One particularly costly challenge comes from “chasing the forecast”. The Forecast Direction Error (FDE) approach was deployed to address the dilemma facing decision-makers who face this challenge: today’s probabilistic weather forecasts contain too much information to be ignored, but not enough information to be safely acted on as probability forecasts. Success was obtained by focusing on the information content of forecasts, and restricting their use to tasks in which the forecasts are informative in practice.

Keywords: Weather Forecast; Capture Rate; Forecast System; Predictive Distribution; Probability Forecast (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-25454-8_37

Ordering information: This item can be ordered from
http://www.springer.com/9783319254548

DOI: 10.1007/978-3-319-25454-8_37

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-12
Handle: RePEc:spr:sprchp:978-3-319-25454-8_37