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9789819676545: Energy Forecasting (Climate Change and Energy Transition)

Sinopsis

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.

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Acerca del autor

Yudong Wang is a Professor at the School of Economics and Management, Nanjing University of Science and Technology. He is interested in the area of energy finance and financial forecasting. He has published more than 100 papers in financial and forecasting journals including Management Science, Journal of Financial Markets, Journal of Banking and Finance. He is an Associate Editor for Journal of Forecasting. He is selected as 2019-2021 Elsevier “Chinese highly cited scholar”.

Yaojie Zhang is an Associate  Professor at the School of Economics and Management, Nanjing University of Science and Technology. His research interests include financial forecasting and energy finance. He has published more than 80 papers in the Journal of Empirical Finance, International Journal of Forecasting, Energy Economics, and many others. He is an Associate Editor for Bulletin of Economic Research and a Young Editorial Board Member for China Finance Review International.

De la contraportada

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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Wang, Yudong
Publicado por Springer, 2025
ISBN 10: 9819676541 ISBN 13: 9789819676545
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Yudong Wang
ISBN 10: 9819676541 ISBN 13: 9789819676545
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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9789819676545

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Publicado por Springer, 2025
ISBN 10: 9819676541 ISBN 13: 9789819676545
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Yudong Wang
ISBN 10: 9819676541 ISBN 13: 9789819676545
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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789819676545

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Yudong Wang
ISBN 10: 9819676541 ISBN 13: 9789819676545
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 aprofessional bookfor 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. 297 pp. Englisch. Nº de ref. del artículo: 9789819676545

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Yudong Wang (u. a.)
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ISBN 10: 9819676541 ISBN 13: 9789819676545
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Buch. Condición: Neu. Energy Forecasting | Yudong Wang (u. a.) | Buch | vi | Englisch | 2025 | Springer | EAN 9789819676545 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 133807252

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Yudong Wang
Publicado por Springer, Springer Aug 2025, 2025
ISBN 10: 9819676541 ISBN 13: 9789819676545
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch. Nº de ref. del artículo: 9789819676545

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Yudong Wang
ISBN 10: 9819676541 ISBN 13: 9789819676545
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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9789819676545

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Yudong Wang
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 aprofessional bookfor 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. Nº de ref. del artículo: 9789819676545

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Publicado por Springer, 2025
ISBN 10: 9819676541 ISBN 13: 9789819676545
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