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Forecasting: theory and practice

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Forecasting: theory and practice. / Petropoulos, Fotios; Apiletti, Daniele; Assimakopoulos, Vassilios et al.
In: International Journal of Forecasting, Vol. 38, No. 3, 01.07.2022, p. 705-871.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Petropoulos, F, Apiletti, D, Assimakopoulos, V, Babai, MZ, Barrow, DK, Ben Taieb, S, Bergmeir, C, Bessa, RJ, Bijak, J, Boylan, JE, Browell, J, Carnevale, C, Castle, JL, Cirillo, P, Clements, MP, Cordeiro, C, Cyrino Oliveira, FL, De Baets, S, Dokumentov, A, Ellison, J, Fiszeder, P, Franses, PH, Frazier, DT, Gilliland, M, Gönül, MS, Goodwin, P, Grossi, L, Grushka-Cockayne, Y, Guidolin, M, Guidolin, M, Gunter, U, Guo, X, Guseo, R, Harvey, N, Hendry, DF, Hollyman, R, Januschowski, T, Jeon, J, Jose, VRR, Kang, Y, Koehler, AB, Kolassa, S, Kourentzes, N, Leva, S, Li, F, Litsiou, K, Makridakis, S, Martin, GM, Martinez, AB, Meeran, S, Modis, T, Nikolopoulos, K, Önkal, D, Paccagnini, A, Panagiotelis, A, Panapakidis, I, Pavía, JM, Pedio, M, Pedregal, DJ, Pinson, P, Ramos, P, Rapach, DE, Reade, JJ, Rostami-Tabar, B, Rubaszek, M, Sermpinis, G, Shang, HL, Spiliotis, E, Syntetos, AA, Talagala, PD, Talagala, TS, Tashman, L, Thomakos, D, Thorarinsdottir, T, Todini, E, Trapero Arenas, JR, Wang, X, Winkler, RL, Yusupova, A & Ziel, F 2022, 'Forecasting: theory and practice', International Journal of Forecasting, vol. 38, no. 3, pp. 705-871. https://doi.org/10.1016/j.ijforecast.2021.11.001

APA

Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Ben Taieb, S., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Cyrino Oliveira, F. L., De Baets, S., Dokumentov, A., ... Ziel, F. (2022). Forecasting: theory and practice. International Journal of Forecasting, 38(3), 705-871. https://doi.org/10.1016/j.ijforecast.2021.11.001

Vancouver

Petropoulos F, Apiletti D, Assimakopoulos V, Babai MZ, Barrow DK, Ben Taieb S et al. Forecasting: theory and practice. International Journal of Forecasting. 2022 Jul 1;38(3):705-871. Epub 2022 Jun 10. doi: 10.1016/j.ijforecast.2021.11.001

Author

Petropoulos, Fotios ; Apiletti, Daniele ; Assimakopoulos, Vassilios et al. / Forecasting : theory and practice. In: International Journal of Forecasting. 2022 ; Vol. 38, No. 3. pp. 705-871.

Bibtex

@article{db5afc1b67a847d497bfb80a53fa7ff0,
title = "Forecasting: theory and practice",
abstract = "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.",
keywords = "Review, Encyclopedia, Methods, Applications, Principles, Time series, Prediction",
author = "Fotios Petropoulos and Daniele Apiletti and Vassilios Assimakopoulos and Babai, {Mohamed Zied} and Barrow, {Devon K.} and {Ben Taieb}, Souhaib and Christoph Bergmeir and Bessa, {Ricardo J.} and Jakub Bijak and Boylan, {John E.} and Jethro Browell and Claudio Carnevale and Castle, {Jennifer L.} and Pasquale Cirillo and Clements, {Michael P.} and Clara Cordeiro and {Cyrino Oliveira}, {Fernando Luiz} and {De Baets}, Shari and Alexander Dokumentov and Joanne Ellison and Piotr Fiszeder and Franses, {Philip Hans} and Frazier, {David T.} and Michael Gilliland and G{\"o}n{\"u}l, {M. Sinan} and Paul Goodwin and Luigi Grossi and Yael Grushka-Cockayne and Mariangela Guidolin and Massimo Guidolin and Ulrich Gunter and Xiaojia Guo and Renato Guseo and Nigel Harvey and Hendry, {David F.} and Ross Hollyman and Tim Januschowski and Jooyoung Jeon and Jose, {Victor Richmond R.} and Yanfei Kang and Koehler, {Anne B.} and Stephan Kolassa and Nikolaos Kourentzes and Sonia Leva and Feng Li and Konstantia Litsiou and Spyros Makridakis and Martin, {Gael M.} and Martinez, {Andrew B.} and Sheik Meeran and Theodore Modis and Konstantinos Nikolopoulos and Dilek {\"O}nkal and Alessia Paccagnini and Anastasios Panagiotelis and Ioannis Panapakidis and Pav{\'i}a, {Jose M.} and Manuela Pedio and Pedregal, {Diego J.} and Pierre Pinson and Patr{\'i}cia Ramos and Rapach, {David E.} and Reade, {J. James} and Bahman Rostami-Tabar and Micha{\l} Rubaszek and Georgios Sermpinis and Shang, {Han Lin} and Evangelos Spiliotis and Syntetos, {Aris A.} and Talagala, {Priyanga Dilini} and Talagala, {Thiyanga S.} and Len Tashman and Dimitrios Thomakos and Thordis Thorarinsdottir and Ezio Todini and {Trapero Arenas}, {Juan Ram{\'o}n} and Xiaoqian Wang and Winkler, {Robert L.} and Alisa Yusupova and Florian Ziel",
year = "2022",
month = jul,
day = "1",
doi = "10.1016/j.ijforecast.2021.11.001",
language = "English",
volume = "38",
pages = "705--871",
journal = "International Journal of Forecasting",
issn = "0169-2070",
publisher = "Elsevier Science B.V.",
number = "3",

}

RIS

TY - JOUR

T1 - Forecasting

T2 - theory and practice

AU - Petropoulos, Fotios

AU - Apiletti, Daniele

AU - Assimakopoulos, Vassilios

AU - Babai, Mohamed Zied

AU - Barrow, Devon K.

AU - Ben Taieb, Souhaib

AU - Bergmeir, Christoph

AU - Bessa, Ricardo J.

AU - Bijak, Jakub

AU - Boylan, John E.

AU - Browell, Jethro

AU - Carnevale, Claudio

AU - Castle, Jennifer L.

AU - Cirillo, Pasquale

AU - Clements, Michael P.

AU - Cordeiro, Clara

AU - Cyrino Oliveira, Fernando Luiz

AU - De Baets, Shari

AU - Dokumentov, Alexander

AU - Ellison, Joanne

AU - Fiszeder, Piotr

AU - Franses, Philip Hans

AU - Frazier, David T.

AU - Gilliland, Michael

AU - Gönül, M. Sinan

AU - Goodwin, Paul

AU - Grossi, Luigi

AU - Grushka-Cockayne, Yael

AU - Guidolin, Mariangela

AU - Guidolin, Massimo

AU - Gunter, Ulrich

AU - Guo, Xiaojia

AU - Guseo, Renato

AU - Harvey, Nigel

AU - Hendry, David F.

AU - Hollyman, Ross

AU - Januschowski, Tim

AU - Jeon, Jooyoung

AU - Jose, Victor Richmond R.

AU - Kang, Yanfei

AU - Koehler, Anne B.

AU - Kolassa, Stephan

AU - Kourentzes, Nikolaos

AU - Leva, Sonia

AU - Li, Feng

AU - Litsiou, Konstantia

AU - Makridakis, Spyros

AU - Martin, Gael M.

AU - Martinez, Andrew B.

AU - Meeran, Sheik

AU - Modis, Theodore

AU - Nikolopoulos, Konstantinos

AU - Önkal, Dilek

AU - Paccagnini, Alessia

AU - Panagiotelis, Anastasios

AU - Panapakidis, Ioannis

AU - Pavía, Jose M.

AU - Pedio, Manuela

AU - Pedregal, Diego J.

AU - Pinson, Pierre

AU - Ramos, Patrícia

AU - Rapach, David E.

AU - Reade, J. James

AU - Rostami-Tabar, Bahman

AU - Rubaszek, Michał

AU - Sermpinis, Georgios

AU - Shang, Han Lin

AU - Spiliotis, Evangelos

AU - Syntetos, Aris A.

AU - Talagala, Priyanga Dilini

AU - Talagala, Thiyanga S.

AU - Tashman, Len

AU - Thomakos, Dimitrios

AU - Thorarinsdottir, Thordis

AU - Todini, Ezio

AU - Trapero Arenas, Juan Ramón

AU - Wang, Xiaoqian

AU - Winkler, Robert L.

AU - Yusupova, Alisa

AU - Ziel, Florian

PY - 2022/7/1

Y1 - 2022/7/1

N2 - 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.

AB - 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.

KW - Review

KW - Encyclopedia

KW - Methods

KW - Applications

KW - Principles

KW - Time series

KW - Prediction

U2 - 10.1016/j.ijforecast.2021.11.001

DO - 10.1016/j.ijforecast.2021.11.001

M3 - Journal article

VL - 38

SP - 705

EP - 871

JO - International Journal of Forecasting

JF - International Journal of Forecasting

SN - 0169-2070

IS - 3

ER -