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

University of North Carolina at Charlotte
Swiss Federal Institute of Technology Zurich
Wrocław University of Science and Technology
Singapore Institute of Manufacturing Technology
University of Calgary

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

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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
Journal	IEEE Open Access Journal of Power and Energy
Volume	7
Pages (from-to)	376-388
ISSN	2687-7910
DOIs	https://doi.org/10.1109/OAJPE.2020.3029979
Publication status	Published - 2020

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy forecasting
Load forecasting
Electricity price forecasting
Wind forecasting
Solar forecasting

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10.1109/OAJPE.2020.3029979

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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, Load forecasting, Electricity price forecasting, Wind forecasting, Solar forecasting",

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

year = "2020",

doi = "10.1109/OAJPE.2020.3029979",

language = "English",

volume = "7",

pages = "376--388",

journal = "IEEE Open Access Journal of Power and Energy",

issn = "2687-7910",

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

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T1 - Energy Forecasting: 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 - Load forecasting

KW - Electricity price forecasting

KW - Wind forecasting

KW - Solar forecasting

U2 - 10.1109/OAJPE.2020.3029979

DO - 10.1109/OAJPE.2020.3029979

M3 - Journal article

SN - 2687-7910

VL - 7

SP - 376

EP - 388

JO - IEEE Open Access Journal of Power and Energy

JF - IEEE Open Access Journal of Power and Energy

ER -

Energy Forecasting: A Review and Outlook

Abstract

UN SDGs

Keywords

Access to Document

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