Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Forecasting: theory and practice
School of Management, University of Bath, United Kingdom.
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. Centre for Marketing Analytics and Forecasting, Lancaster University Management School, Lancaster University, United Kingdom. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0003-0211-5218
House of Energy Markets and Finance, University of Duisburg–Essen, Germany.
Number of Authors: 802022 (English)In: International Journal of Forecasting, ISSN 0169-2070, E-ISSN 1872-8200, Vol. 38, no 3, p. 705-871Article, review/survey (Refereed) Published
Abstract [en]

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases. 

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 38, no 3, p. 705-871
Keywords [en]
Applications, Encyclopedia, Methods, Prediction, Principles, Review, Time series
National Category
Economics Other Engineering and Technologies not elsewhere specified Business Administration
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-20867DOI: 10.1016/j.ijforecast.2021.11.001ISI: 000836807400001Scopus ID: 2-s2.0-85123082516OAI: oai:DiVA.org:his-20867DiVA, id: diva2:1632482
Note

CC BY 4.0

© 2021 The Author(s)

Corresponding author: E-mail addresses: f.petropoulos@bath.ac.uk, fotios@bath.edu (F. Petropoulos).

Available online 20 January 2022

Available from: 2022-01-27 Created: 2022-01-27 Last updated: 2022-08-25Bibliographically approved

Open Access in DiVA

fulltext(3897 kB)2230 downloads
File information
File name FULLTEXT02.pdfFile size 3897 kBChecksum SHA-512
f02784dd62dc17dbf0152ede81b2bf5734269f93cb1eb08fb8289095e154472f49e84c5181404db7d845cf584a2f47411e30834165876b37d360a6ee36fe799f
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Kourentzes, Nikolaos

Search in DiVA

By author/editor
Kourentzes, Nikolaos
By organisation
School of InformaticsInformatics Research Environment
In the same journal
International Journal of Forecasting
EconomicsOther Engineering and Technologies not elsewhere specifiedBusiness Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 2314 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 565 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf