Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (79 Seiten)

ISBN: 9781839987069

Series Statement: Anthem Series on Television Studies

Content: This book aims to provide an account of Chinese television, particularly online drama series, or webisodes, with an awareness of the existence and competition of Netflix

Note: Description based on publisher supplied metadata and other sources , Cover -- Half-Title -- Title -- Copyright -- Contents -- Introduction -- 1 Webisode Distribution and Globalization Strategies of Video-Streaming Platforms: Taking iQIYI as an Example -- 2 The Production of High-Quality Homemade Short Dramas on Chinese Networks: The Example of iQIYI's Mist Theater -- 3 What Are They Bullet-Screening About? A Content Analysis of Bullet Screen Comments about Crime Crackdown (2021) -- 4 Content, Platforms and Distribution: Challenges and Prospect in the Field of Webisode Productions -- Notes on Contributors -- Index

Additional Edition: Erscheint auch als Druck-Ausgabe Xu), Xu Xiaying (Richard Chinese TV in the Netflix Era La Vergne : Anthem Press,c2023 ISBN 9781839987052

Language: English

UID:

Format: 1 Online-Ressource (275 Seiten)

ISBN: 9789811689659

Series Statement: Management for Professionals Series

Note: Description based on publisher supplied metadata and other sources , Intro -- Preface -- Contents -- Nomenclature -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Overview of Research Progress in Energy Economics -- 1.1.1 History of Energy Economics -- 1.1.2 Framework for Big Data in Energy Economics -- 1.1.3 Strategies and Measures for the Development of Big Data in China's Energy Economics -- 1.1.4 Strategies and Measures for the Development of Big Data in World's Energy Economics -- 1.2 Key Technologies of Energy Internet in Energy Economics -- 1.2.1 Concept of Energy Internet -- 1.2.2 Reasons for Building a Global Energy Internet -- 1.2.3 Key Technologies of Energy Internet -- 1.3 Big Data Demand Analysis for Energy Economics -- 1.3.1 Summary of Key Technical Tools -- 1.3.2 Application Scenarios of Big Data Technology -- 1.4 Scope of This Book -- References -- 2 Big Data Analysis of Energy Economics in Oil Market -- 2.1 Introduction -- 2.2 Influencing Factors Analysis of Oil Prices -- 2.2.1 Data Description of Crude Oil Prices Influencing Factors -- 2.2.2 Correlation Analysis of the Factors Affecting Crude Oil Prices -- 2.3 Big Data Forecasting of Oil Prices -- 2.3.1 Base Forecasting Models -- 2.3.2 Crude Oil Futures and Spot Prices Time Series Forecasting Model -- 2.3.3 Performance Metrics -- 2.3.4 Results and Discussions -- 2.4 Econometric Analysis of Oil Prices -- 2.4.1 Energy Economic Analysis of Crude Oil Market -- 2.4.2 Big Data Prediction Technology -- 2.4.3 Policies and Recommendations -- 2.5 Conclusions -- References -- 3 Big Data Analysis of Energy Economics in Coal Market -- 3.1 Introduction -- 3.2 Influencing Factors Analysis of Coal Prices -- 3.2.1 Data Description of Coal Prices Influencing Factors -- 3.2.2 Correlation Analysis of the Factors Affecting Coal Prices -- 3.3 Big Data Forecasting of Coal Prices -- 3.3.1 The Components of the Proposed Model , 3.3.2 Multi-factor Coal Price Hybrid Forecasting Model -- 3.3.3 Performance Metrics -- 3.3.4 Results and Discussions -- 3.4 Econometric Analysis of Coal Prices -- 3.4.1 Energy Economic Analysis of the Coal Market -- 3.4.2 Big Data Prediction Technology -- 3.4.3 Policies and Recommendations -- 3.5 Conclusions -- References -- 4 Big Data Analysis of Energy Economics in Wind Power Market -- 4.1 Introduction -- 4.2 Multi-temporal and Spatial Scale Wind Power Big Data Forecasting -- 4.2.1 Description of Original Wind Dataset -- 4.2.2 Framework of Wind Power Forecasting Models -- 4.2.3 Analysis of Wind Power Forecasting Models -- 4.3 Conversion Efficiency of Wind Power Energy -- 4.4 Market Economy Analysis of Wind Power Application -- 4.4.1 Market Economy Analysis of Wind Power Application in China -- 4.4.2 Market Economy Analysis of Wind Power Application in America -- 4.4.3 Market Economy Analysis of Wind Power Application in Europe -- 4.5 Conclusions -- References -- 5 Big Data Analysis of Energy Economics in Photovoltaic Power Generation Market -- 5.1 Introduction -- 5.2 Big Data Forecasting of Photovoltaic Power Generation -- 5.2.1 Big Data Processing Engines -- 5.2.2 Forecasting Strategy and Methods -- 5.2.3 Forecasting Models -- 5.3 Photovoltaic Power Consumption by Small and Medium-Sized Users -- 5.3.1 Dataset Description -- 5.3.2 Experiments -- 5.4 Photovoltaic Power Consumption in Urban Public Areas -- 5.4.1 Dataset Description -- 5.4.2 Experiments -- 5.5 Market Economy Analysis of Photovoltaic Systems -- 5.5.1 Dispatch of Photovoltaic Power Integration -- 5.5.2 Optimization Model of Photovoltaic Power Integration -- 5.5.3 Single- and Multi-objective Optimization Algorithms -- 5.6 Conclusions -- References -- 6 Big Data Analysis of Power Market Energy Economics -- 6.1 Introduction -- 6.2 Big Data Forecasting of Urban Electricity Price , 6.2.1 Electricity Price Forecasting Method Based on Empirical Mode Decomposition and Extreme Learning Machine -- 6.2.2 Electricity Price Forecasting Method Based on Wavelet Packet Decomposition and Deep Belief Network -- 6.2.3 Big Data Processing of Electricity Price Based on Empirical Wavelet Transform and Long Short-Term Memory Network -- 6.3 Correlation Analysis of Urban Energy Consumption and Economic Growth -- 6.3.1 Grey Correlation Model in the Energy Economy -- 6.3.2 Grey Correlation Analysis of Economic Growth and Energy Consumption Varieties -- 6.3.3 Grey Correlation Analysis of Economic Growth and Energy Consumption Industrial Structure -- 6.4 Metering Charge Adjustment Analysis of City Electricity Prices -- 6.4.1 Background of the K-means Algorithm for Characteristic Analysis of Electricity Price -- 6.4.2 Analysis of User Electricity Price Consumption Characteristics Based on the K-means Algorithm -- 6.4.3 Optimization Design of Residential Stepped Electricity Price -- 6.5 Conclusions -- References -- 7 Big Data Management of Smart City Energy Conservation and Emission Reduction -- 7.1 Introduction -- 7.1.1 Background and Introduction -- 7.1.2 Dataset Description -- 7.2 Non-intrusive Load Identification of Electrical Equipment -- 7.2.1 Nonintrusive Load Identification Based on Signal Decomposition -- 7.2.2 Non-intrusive Load Identification Based on Electrical Switching Event Classification -- 7.2.3 Non-intrusive Load Identification Based on Multi-label Classification -- 7.3 Guide to Smart City Electricity Behavior -- 7.3.1 Smart Grid Planning of a City -- 7.3.2 Urban Public Electricity Behavior Research -- 7.4 Analysis of Energy Conservation and Emission Reduction of Smart Cities -- 7.5 Conclusions -- References -- 8 Optimization Analysis of Clean Energy Transformation -- 8.1 Introduction -- 8.1.1 Global Status of Clean Energy Development , 8.1.2 International Experience in the Transformation of Clean Energy Industry -- 8.2 Efficiency Analysis of Energy Utilization Under Diversified Development -- 8.2.1 Evaluation Indexes and Methods of Energy Efficiency -- 8.2.2 Analysis of Influencing Factors and Mechanism of Energy Efficiency -- 8.2.3 International Comparative Analysis of Energy Efficiency -- 8.3 Analysis of Reasonable Energy Consumption Patterns -- 8.3.1 Challenges Facing Energy Consumption -- 8.3.2 Analysis of Key Factors Affecting Clean Energy Consumption -- 8.3.3 Reform Strategy of Clean Energy Consumption Patterns -- 8.4 Economic Analysis of Clean Energy Transformation -- 8.4.1 Mechanisms for Developing Clean Energy to Affect Economic Growth -- 8.4.2 Ways to Promote a Low-Carbon Economy Based on Clean Energy -- 8.5 Conclusions -- References -- 9 Global Energy Internet Green and Low-Carbon Energy Economic Innovation -- 9.1 Introduction -- 9.2 Reform and Innovation of the New Energy System Under the Energy Internet -- 9.2.1 Comparison of Conventional Energy System and New Energy System -- 9.2.2 Production in New Energy System -- 9.2.3 Supply and Marketing in New Energy System -- 9.3 Energy Saving and Emission Reduction Under the Energy Internet -- 9.3.1 Energy Saving and Emission Reduction in Production Process -- 9.3.2 Energy Saving and Emission Reduction in Supply and Marketing Process -- 9.4 Healthy Construction of the Ecological Environment Under the Energy Internet -- 9.4.1 Land Ecology and Photovoltaic Power -- 9.4.2 Hydropower and Ecology -- 9.4.3 Biological Energy and Ecology -- 9.5 Conclusions -- References

Additional Edition: Erscheint auch als Druck-Ausgabe Liu, Hui Big Data in Energy Economics Singapore : Springer,c2022 ISBN 9789811689642

Language: English