Energy Forecasting: A Review and Outlook

Tao Hong; Pierre Pinson; Yi Wang; Rafal Weron; Dazhi Yang; Hamidreza Zareipour

doi:10.1109/OAJPE.2020.3029979

Energy Forecasting: A Review and Outlook

Tao Hong^*
, Pierre Pinson
, Yi Wang
, Rafal Weron
, Dazhi Yang
, Hamidreza Zareipour

^*Corresponding author for this work

University of North Carolina at Charlotte
Technical University of Denmark
Swiss Federal Institute of Technology Zurich
Wrocław University of Science and Technology
Agency for Science, Technology and Research, Singapore

Research output: Contribution to journal › Review article › peer-review

524 Scopus citations

Abstract

Forecasting has been an essential part of the power and energy industry. Researchers and practitioners have contributed thousands of papers on forecasting electricity demand and prices, and renewable generation (e.g., wind and solar power). This article offers a brief review of influential energy forecasting papers; summarizes research trends; discusses importance of reproducible research and points out six valuable open data sources; makes recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.

Original language	English
Article number	9218967
Pages (from-to)	376-388
Number of pages	13
Journal	IEEE Power and Energy Technology Systems Journal
Volume	7
DOIs	https://doi.org/10.1109/OAJPE.2020.3029979
State	Published - 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy forecasting
electricity price forecasting
load forecasting
solar forecasting
wind forecasting

Access to Document

10.1109/OAJPE.2020.3029979

Cite this

@article{d7d36c23873946258ebc7ba57aa0bece,

title = "Energy Forecasting: A Review and Outlook",

abstract = "Forecasting has been an essential part of the power and energy industry. Researchers and practitioners have contributed thousands of papers on forecasting electricity demand and prices, and renewable generation (e.g., wind and solar power). This article offers a brief review of influential energy forecasting papers; summarizes research trends; discusses importance of reproducible research and points out six valuable open data sources; makes recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.",

keywords = "Energy forecasting, electricity price forecasting, load forecasting, solar forecasting, wind forecasting",

author = "Tao Hong and Pierre Pinson and Yi Wang and Rafal Weron and Dazhi Yang and Hamidreza Zareipour",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.",

year = "2020",

doi = "10.1109/OAJPE.2020.3029979",

language = "英语",

volume = "7",

pages = "376--388",

journal = "IEEE Power and Energy Technology Systems Journal",

issn = "2332-7707",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Energy Forecasting

T2 - A Review and Outlook

AU - Hong, Tao

AU - Pinson, Pierre

AU - Wang, Yi

AU - Weron, Rafal

AU - Yang, Dazhi

AU - Zareipour, Hamidreza

PY - 2020

Y1 - 2020

N2 - Forecasting has been an essential part of the power and energy industry. Researchers and practitioners have contributed thousands of papers on forecasting electricity demand and prices, and renewable generation (e.g., wind and solar power). This article offers a brief review of influential energy forecasting papers; summarizes research trends; discusses importance of reproducible research and points out six valuable open data sources; makes recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.

AB - Forecasting has been an essential part of the power and energy industry. Researchers and practitioners have contributed thousands of papers on forecasting electricity demand and prices, and renewable generation (e.g., wind and solar power). This article offers a brief review of influential energy forecasting papers; summarizes research trends; discusses importance of reproducible research and points out six valuable open data sources; makes recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.

KW - Energy forecasting

KW - electricity price forecasting

KW - load forecasting

KW - solar forecasting

KW - wind forecasting

UR - https://www.scopus.com/pages/publications/85099667446

U2 - 10.1109/OAJPE.2020.3029979

DO - 10.1109/OAJPE.2020.3029979

M3 - 文献综述

AN - SCOPUS:85099667446

SN - 2332-7707

VL - 7

SP - 376

EP - 388

JO - IEEE Power and Energy Technology Systems Journal

JF - IEEE Power and Energy Technology Systems Journal

M1 - 9218967

ER -

Energy Forecasting: A Review and Outlook

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this