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Big Data in Energy Economics / by Hui Liu, Nikolaos Nikitas, Yanfei Li, Rui Yang
(Management for Professionals. ISSN:2192810X)

Publisher	(Singapore : Springer Nature Singapore : Imprint: Springer)
Year	2022
Edition	1st ed. 2022.
Authors	*Liu, Hui author Nikitas, Nikolaos author Li, Yanfei author Yang, Rui author SpringerLink (Online service)

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Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00186829		Springer Economics and Finance eBooks (電子ブック)	9789811689659

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Material Type	E-Book
Media type	機械可読データファイル
Size	XXII, 258 p. 97 illus., 92 illus. in color : online resource
Notes	Preface -- Chapter 1 Introduction -- Chapter 2 Big Data Analysis of Energy Economics in Oil Market -- Chapter 2 Big Data Analysis of Energy Economics in Oil Market -- Chapter 3 Big Data Analysis of Energy Economics in Coal Market -- Chapter 4 Big Data Analysis of Energy Economics in Wind Power Market -- Chapter 5 Big Data Analysis of Energy Economics in Photovoltaic Power Generation Market -- Chapter 6 Big Data Analysis of Power Market Energy Economics -- Chapter 7 Big Data Management of Smart City Energy Conservation and Emission Reduction -- Chapter 8 Optimization Analysis of Clean Energy Transformation -- Chapter 9 Global Energy Internet Green and Low-Carbon Energy Economic Innovation. This book combines energy economics and big data modeling analysis in energy conversion and management and comprehensively introduces the relevant theories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, they also carry out scientific power equipment scheduling and cost–benefit analysis according to the results of data mining, so as to avoid the loss caused by accidental damage of equipment. Energy users adjust their power consumption behavior through the modeling results provided and achieve the effect of energy saving and emission reduction while reasonably reducing the electricity expenditure. This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy HTTP:URL=https://doi.org/10.1007/978-981-16-8965-9
Subjects	LCSH:Power resources LCSH:Big data LCSH:Artificial intelligence LCSH:Economic policy FREE:Natural Resource and Energy Economics FREE:Big Data FREE:Artificial Intelligence FREE:Economic Policy
Classification	LCC:HD9502-9502.5 DC23:333.79
ID	8000079021
ISBN	9789811689659