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Application of RBF Neural Network in Short-Term Load Forecasting Read chapter Read first chapter

2010 | OriginalPaper | Chapter

Technical Efficiency Analysis of New Energy Listed Companies Based on DEA

Authors : Gao Chong, Zhang Jian-ze, Li Xiao-dong

Published in: Artificial Intelligence and Computational Intelligence

Publisher: Springer Berlin Heidelberg

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This paper uses the DEA model to analyses the technical efficiency of representative listed companies in China new energy industry representative.Through the analysis and solution for the data on three consecutive years, the results in a certain extent, reflect the development and business efficiency of new energy industry, and provide relevant decision-making information on technical efficiency for new energy industry operation, with strong reliability and practicality.

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previous chapter Automobile Exhaust Gas Detection Based on Fuzzy Temperature Compensation System
next chapter Research on Differential Evolution Algorithm Based on Interaction Balance Method for Large-Scale Industrial Processes of Fuzzy Model
Metadata
Title
Technical Efficiency Analysis of New Energy Listed Companies Based on DEA
Authors
Gao Chong
Zhang Jian-ze
Li Xiao-dong
Copyright Year
2010
Publisher
Springer Berlin Heidelberg
Book
Artificial Intelligence and Computational Intelligence

Print ISBN: 978-3-642-16529-0

Electronic ISBN: 978-3-642-16530-6

Copyright Year: 2010

DOI
https://doi.org/10.1007/978-3-642-16530-6_20

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