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Energy forecasting

Record Type:	Electronic resources : Monograph/item
Title/Author:	Energy forecastingedited by Yudong Wang, Yaojie Zhang.
other author:	Wang, Yudong.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	vi, 297 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Energy industriesForecasting.
Online resource:	https://doi.org/10.1007/978-981-96-7655-2
ISBN:	9789819676552$q(electronic bk.)

Energy forecasting
Energy forecasting[electronic resource] /edited by Yudong Wang, Yaojie Zhang. - Singapore :Springer Nature Singapore :2025. - vi, 297 p. :ill., digital ;24 cm. - Climate change and energy transition,2731-9911. - Climate change and energy transition..

Chapter 1. Forecasting crude oil prices -- Chapter 2. Forecasting coal prices -- Chapter 3. Forecasting natural gas prices -- Chapter 4. Forecasting electricity prices -- Chapter 5. Forecasting renewable and nuclear energy -- Chapter 6. Forecasting Chinese oil futures market -- Chapter 7. Forecasting energy production and consumption -- Chapter 8. Forecasting energy market volatility -- Chapter 9. Energy and economic forecasting -- Chapter 10. Energy information and stock return predictability -- Chapter 11. Energy information and exchange rate forecasting -- Chapter 12. Climate risk and energy price forecasting -- Chapter 13. Machine learning and energy forecasting -- Chapter 14. Big data and energy forecasting -- Etc.

This book focuses on the application of multiple forecasting methods to energy forecasting problems. The different contributions comprehensively forecast a wide range of energy, including crude oil, coal, natural gas, electricity, renewable energy, and nuclear energy, and further explore the application of energy information in the fields of economic and financial forecasting. The main features of this book are: (1) providing a comprehensive overview of energy forecasting; (2) presenting a variety of energy forecasting methods; and (3) illustrating the economic origins of energy price predictability. This book serves as a professional book for graduate students in energy economics and management at various institutions of higher learning and at the same time as a reference book for teachers, researchers, and market participants in energy economics and management.

ISBN: 9789819676552$q(electronic bk.)

Standard No.: 10.1007/978-981-96-7655-2doiSubjects--Topical Terms:

785405
Energy industries
--Forecasting.

LC Class. No.: HD9502.A2

Dewey Class. No.: 333.79

Energy forecasting
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505 0 $a Chapter 1. Forecasting crude oil prices -- Chapter 2. Forecasting coal prices -- Chapter 3. Forecasting natural gas prices -- Chapter 4. Forecasting electricity prices -- Chapter 5. Forecasting renewable and nuclear energy -- Chapter 6. Forecasting Chinese oil futures market -- Chapter 7. Forecasting energy production and consumption -- Chapter 8. Forecasting energy market volatility -- Chapter 9. Energy and economic forecasting -- Chapter 10. Energy information and stock return predictability -- Chapter 11. Energy information and exchange rate forecasting -- Chapter 12. Climate risk and energy price forecasting -- Chapter 13. Machine learning and energy forecasting -- Chapter 14. Big data and energy forecasting -- Etc.
520 $a This book focuses on the application of multiple forecasting methods to energy forecasting problems. The different contributions comprehensively forecast a wide range of energy, including crude oil, coal, natural gas, electricity, renewable energy, and nuclear energy, and further explore the application of energy information in the fields of economic and financial forecasting. The main features of this book are: (1) providing a comprehensive overview of energy forecasting; (2) presenting a variety of energy forecasting methods; and (3) illustrating the economic origins of energy price predictability. This book serves as a professional book for graduate students in energy economics and management at various institutions of higher learning and at the same time as a reference book for teachers, researchers, and market participants in energy economics and management.
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