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.

First published in 2002. Routledge is an imprint of Taylor & Francis, an informa company.

Analytical Methods for Polymer Characterization presents a collection of methods for polymer analysis. Topics include chromatographic methods (gas chromatography, inverse gas chromatography, and pyrolysis gas chromatography), mass spectrometry, spectroscopic methods (ultraviolet-visible spectroscopy, infrared spectroscopy, Raman spectroscopy, and nuclear magnetic resonance), thermal analysis (differential scanning calorimetry and thermogravimetry), microscopy methods (scanning electron microscopy, transmission electron microscopy, and atomic force microscopy), and x-ray diffraction. The author also discusses mechanical and dynamic mechanical properties.

Globalization and internationalization are salient features of our times in significant modern and post-modern social theories. This study contributes to the literature, and delineates a comprehensive picture of China's higher education internationalization, with an analysis of its costs and benefits, set in an international comparative perspective.

Analytical Methods for Polymer Characterization presents a collection of methods for polymer analysis. Topics include chromatographic methods (gas chromatography, inverse gas chromatography, and pyrolysis gas chromatography), mass spectrometry, spectroscopic methods (ultraviolet-visible spectroscopy, infrared spectroscopy, Raman spectroscopy, and nuclear magnetic resonance), thermal analysis (differential scanning calorimetry and thermogravimetry), microscopy methods (scanning electron microscopy, transmission electron microscopy, and atomic force microscopy), and x-ray diffraction. The author also discusses mechanical and dynamic mechanical properties.

This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

In From Wall Street to the Great Wall, Burton G. Malkiel and his coauthors show how average investors can tap into the opportunities this affords without losing their shirts. The authors present firsthand knowledge from their research trips to China on how Chinese firms and industries, as well as multinationals in the United States and elsewhere, are likely to benefit growth. They describe investment opportunities ranging from stocks to real estate to art and then set forth a grand strategy, including sample portfolios, for profiting from China's economic boom.