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能源经济大数据(英文版) 版权信息
- ISBN：9787030716422
- 条形码：9787030716422 ; 978-7-03-071642-2
- 装帧：一般胶版纸
- 册数：暂无
- 重量：暂无
- 所属分类：>
能源经济大数据(英文版) 内容简介
能源是人类社会赖以生存和发展的重要物质基础，能源的生产消费对经济发展起到至关重要的作用，而能源问题也成为全世界瞩目的焦点。能源经济学正是在这种背景下发展起来的一门年轻的科学。本书结合能源互联网以及大数据建模技术在能源经济学中的应用，全面介绍了智慧能源经济、大数据建模的相关理论、关键技术和应用实例。全书分为11章：第1章从智慧能源经济学概述进行分析，介绍了能源经济学的能源互联网关键技术，并介绍能源经济大数据需求分析的必要性；第2章介绍石油市场能源经济大数据分析，第3章介绍煤炭市场能源经济大数据分析，第4章风电市场能源经济大数据分析，第5章介绍光伏发电市场能源经济大数据分析，第6章介绍电力市场能源经济大数据分析，第7章介绍用电需求侧节能减排大数据管理，第8章介绍新能源投资全生命周期成本、收益大数据分析，第9章介绍能源经济宏观敏感度分析，第10章介绍能源清洁化转型优化分析，第11章介绍优选能源互联网绿色低碳能源经济创新。
能源经济大数据(英文版) 目录
contents
1 Introduction 1
1.1 Overview of Research Progress in Energy Economics 1
1.1.1 History of Energy Economics 1
1.1.2 Framework for Big Data in Energy Economics 2
1.1.3 Strategies and Measures for the Development of Big Data in China's Energy Economics 6
1.1.4 Strategies and Measures for the Development of Big Data in World's Energy Economics 9
1.2 Key Technologies of Energy Internet in Energy Economics 14
1.2.1 Concept of Energy Internet 14
1.2.2 Reasons for Building a Global Energy Internet 16
1.2.3 Key Technologies of Energy Internet 17
1.3 Big Data Demand Analysis for Energy Economics 20
1.3.1 Summary of Key Technical Tools 21
1.3.2 Application Scenarios of Big Data Technology 29
1.4 Scope of This Book 31
References 34
2 Big Data Analysis of Energy Economics in Oil Market 43
2.1 Introduction 43
2.2 Influencing Factors Analysis of Oil Prices 45
2.2.1 Data Description of Crude Oil Prices Influencing Factors 46
2.2.2 Correlation Analysis of the Factors Affecting Crude Oil Prices 46
23 Big Data Forecasting of Oil Prices 50
2.3.1 Base Forecasting Models 50
2.3.2 Crude Oil Futures and Spot Prices Time Series Forecasting Model 53
23.3 Performance Metrics 54
2.3.4 Results and Discussions 55
2.4 Econometric Analysis of Oil Prices 57
2.4.1 Energy Economic Analysis of Crude Oil Market 57
2.4.2 Big Data Prediction Technology 61
2.4.3 Policies and Recommendations 62
2.5 Conclusions 62
References 64
3 Big Data Analysis of Energy Economics in Coal Market 67
3.1 Introduction 67
3.2 Influencing Factors Analysis of Coal Prices 68
3.2.1 Data Description of Coal Prices Inluencing Factors 69
3.2.2 Correlation Analysis of the Factors Affecting Coal Prices 72
3.3 Big Data Forecasting of Coal Prices 73
3.3.1 The Components of the Proposed Model 73
3.3.2 Multi-factor Coal Price Hybrid Forecasting Model 80
3.3.3 Performance Metrics 81
3.3.4 Results and Discussions 81
3.4 Econometic Analysis of Coal Prices 86
3.4.1 Energy Economic Analysis of the Coal Market 86
3.4.2 Big Data Prediction Technology 87
3.4.3 Policies and Recommendations 88
3.5 Conclusions 91
References 92
4 Big Data Analysis of Energy Economics in Wind Power Market 95
4.1 Introduction 95
4.2 Muli-temporal and Spatial Scale Wind Power Big Data Forecasting 96
4.2.1 Description of Original Wind Dataset 96
4.2.2 Framework of Wind Power Forecasting Models 97
4.2.3 Analysis of Wind Power Forecasting Models 98
4.3 Conversion Eficiency of Wind Power Energy 104
4.4 Market Economy Analysis of Wind Power Application 107
4.4.1 Market Economy Analysis of Wind Power Application in China 107
4.4.2 Market Economy Analysis of Wind Power Application in America 111
4.4.3 Market Economy Analysis of Wind Power Application in Europe 112
4.5 Conclusions 113
References 114
5 Big Data Analysis of Energy Economics in Photovoltaic Power Generation Market 117
5.1 Introduction 117
5.2 Big Data Forecasting of Photovoltaice Power Generation 117
5.2.1 Big Data Processing Engines 118
5.2.2 Forecasting Strategy and Methods 119
5.23 Forecasting Models 120
5.3 Photovoltaic Power Consumption by Small and Medium Sized Users 123
5.3.1 Dataset Descripion 123
5.3.2 Experiments 123
5.4 Photovolaic Power Consumption in Urtban Public Areas 126
5.4.1 Dataset Descripion 127
5.4.2 Experiments 128
5.5 Market Economy Analysis of Photovoltaic Systems 129
5.5.1 Dispatch of Photovoltaic Power Integration 129
5.5.2 Optimization Model of Photovoltaic Power Integration 130
5.5.3 Single- and Multi objective Optimization Algorithms 133
5.6 Conclusions 135
References 136
6 Big Data Analysis of Power Market Energy Economics 137
6.1 Introduction 137
6.2 Big Data Forecasting of Urban Electricity Price 138
6.2.1 Electricity Price Forecasting Method Based on Empirical Mode Decomposition and Extreme Learning Machine 139
6.2.2 Electicity Price Forecasting Method Based on Wavelet Packet Decomposition and Deep Bclief Nelwork 143
6.2.3 Big Data Processing of Electricily Price Based on Empirical Wavelet Transfom and Long Short-Term Memory Network 150
6.3 Correlation Analysis of Urban Energy Consumption and Economic Growth 155
6.3.1 Grey Correlation Model in the Energy Economy 155
6.3.2 Grey Corelation Analysis of Economic Growth and Energy Consumption Varicties 156
6.3.3 Grey Coelation Analysis of Economic Growth and Energy Consumption Industrial Structure 157
6.4 Metering Charge Adjustment Analysis of City Electicity Prices 159
6.4.1 Background of the K means Algorithm for Characteristic Analysis of Electricity Price 159
6.4.2 Analysis of User Eletricity Price Consumption Characteristics Based on the K means Algorithm 161
6.4.3 Optimization Design of Residential Stepped El
1 Introduction 1
1.1 Overview of Research Progress in Energy Economics 1
1.1.1 History of Energy Economics 1
1.1.2 Framework for Big Data in Energy Economics 2
1.1.3 Strategies and Measures for the Development of Big Data in China's Energy Economics 6
1.1.4 Strategies and Measures for the Development of Big Data in World's Energy Economics 9
1.2 Key Technologies of Energy Internet in Energy Economics 14
1.2.1 Concept of Energy Internet 14
1.2.2 Reasons for Building a Global Energy Internet 16
1.2.3 Key Technologies of Energy Internet 17
1.3 Big Data Demand Analysis for Energy Economics 20
1.3.1 Summary of Key Technical Tools 21
1.3.2 Application Scenarios of Big Data Technology 29
1.4 Scope of This Book 31
References 34
2 Big Data Analysis of Energy Economics in Oil Market 43
2.1 Introduction 43
2.2 Influencing Factors Analysis of Oil Prices 45
2.2.1 Data Description of Crude Oil Prices Influencing Factors 46
2.2.2 Correlation Analysis of the Factors Affecting Crude Oil Prices 46
23 Big Data Forecasting of Oil Prices 50
2.3.1 Base Forecasting Models 50
2.3.2 Crude Oil Futures and Spot Prices Time Series Forecasting Model 53
23.3 Performance Metrics 54
2.3.4 Results and Discussions 55
2.4 Econometric Analysis of Oil Prices 57
2.4.1 Energy Economic Analysis of Crude Oil Market 57
2.4.2 Big Data Prediction Technology 61
2.4.3 Policies and Recommendations 62
2.5 Conclusions 62
References 64
3 Big Data Analysis of Energy Economics in Coal Market 67
3.1 Introduction 67
3.2 Influencing Factors Analysis of Coal Prices 68
3.2.1 Data Description of Coal Prices Inluencing Factors 69
3.2.2 Correlation Analysis of the Factors Affecting Coal Prices 72
3.3 Big Data Forecasting of Coal Prices 73
3.3.1 The Components of the Proposed Model 73
3.3.2 Multi-factor Coal Price Hybrid Forecasting Model 80
3.3.3 Performance Metrics 81
3.3.4 Results and Discussions 81
3.4 Econometic Analysis of Coal Prices 86
3.4.1 Energy Economic Analysis of the Coal Market 86
3.4.2 Big Data Prediction Technology 87
3.4.3 Policies and Recommendations 88
3.5 Conclusions 91
References 92
4 Big Data Analysis of Energy Economics in Wind Power Market 95
4.1 Introduction 95
4.2 Muli-temporal and Spatial Scale Wind Power Big Data Forecasting 96
4.2.1 Description of Original Wind Dataset 96
4.2.2 Framework of Wind Power Forecasting Models 97
4.2.3 Analysis of Wind Power Forecasting Models 98
4.3 Conversion Eficiency of Wind Power Energy 104
4.4 Market Economy Analysis of Wind Power Application 107
4.4.1 Market Economy Analysis of Wind Power Application in China 107
4.4.2 Market Economy Analysis of Wind Power Application in America 111
4.4.3 Market Economy Analysis of Wind Power Application in Europe 112
4.5 Conclusions 113
References 114
5 Big Data Analysis of Energy Economics in Photovoltaic Power Generation Market 117
5.1 Introduction 117
5.2 Big Data Forecasting of Photovoltaice Power Generation 117
5.2.1 Big Data Processing Engines 118
5.2.2 Forecasting Strategy and Methods 119
5.23 Forecasting Models 120
5.3 Photovoltaic Power Consumption by Small and Medium Sized Users 123
5.3.1 Dataset Descripion 123
5.3.2 Experiments 123
5.4 Photovolaic Power Consumption in Urtban Public Areas 126
5.4.1 Dataset Descripion 127
5.4.2 Experiments 128
5.5 Market Economy Analysis of Photovoltaic Systems 129
5.5.1 Dispatch of Photovoltaic Power Integration 129
5.5.2 Optimization Model of Photovoltaic Power Integration 130
5.5.3 Single- and Multi objective Optimization Algorithms 133
5.6 Conclusions 135
References 136
6 Big Data Analysis of Power Market Energy Economics 137
6.1 Introduction 137
6.2 Big Data Forecasting of Urban Electricity Price 138
6.2.1 Electricity Price Forecasting Method Based on Empirical Mode Decomposition and Extreme Learning Machine 139
6.2.2 Electicity Price Forecasting Method Based on Wavelet Packet Decomposition and Deep Bclief Nelwork 143
6.2.3 Big Data Processing of Electricily Price Based on Empirical Wavelet Transfom and Long Short-Term Memory Network 150
6.3 Correlation Analysis of Urban Energy Consumption and Economic Growth 155
6.3.1 Grey Correlation Model in the Energy Economy 155
6.3.2 Grey Corelation Analysis of Economic Growth and Energy Consumption Varicties 156
6.3.3 Grey Coelation Analysis of Economic Growth and Energy Consumption Industrial Structure 157
6.4 Metering Charge Adjustment Analysis of City Electicity Prices 159
6.4.1 Background of the K means Algorithm for Characteristic Analysis of Electricity Price 159
6.4.2 Analysis of User Eletricity Price Consumption Characteristics Based on the K means Algorithm 161
6.4.3 Optimization Design of Residential Stepped El
展开全部
能源经济大数据(英文版) 节选
Introduction 1.1 Overview of Research Progress in Energy Economics 1.1.1 History of Energy Economics Throughout the history of human evolution， energy and development have been inextricably linked. Energy has been influencing economic growth and social wel？fare in different forms since the beginning of its involvement in production and life. Energy is also an essential driving force for economic and social development. As an important strategic resource and the basic industry， energy plays a very important role in promoting and guaranteeing the sustainable， rapid， and healthy development of society and the improvement of people’s life. Energy economics is a young science developed under this background. People’s perception of the development of energy economics can be roughly divided into three stages (Banks， 2012). (a) Phase I: The supply of energy production is relatively abundant， and human beings use and consume natural resources in large quantities to achieve high development. During the first industrial revolution in the mid-eighteenth century， mankind’s rapid economic growth was premised on the massive consumption of natural resources， mainly fossil energy. Western economics began to flourish from this moment， and the change from classical to neoclassical laid the foundation for the emergence of energy economics and the birth of fundamental ideas. From the beginning of the first industrial revolution to the 1830s and then to the second industrial revolution in the early twentieth century， the world’s population soared and the demand for resources increased. The opening of a new era of human electrification has led to the rapid development of global productivity. The main research task of energy economics in this phase is to achieve efficient production， conversion， and delivery of energy products to meet the material needs of a period of rapid economic development. Prior to the 1970s， there was a more optimistic attitude toward energy supply. Energy seemed to be an inexhaustible resource. 1.2 Phase n： The energy crisis broke out and problems such as energy shortage and resource waste were exposed. From the 1970s to the early 1980s，the waste of resources caused by one-sided pursuit of economic development aroused people’s attention. Traditional economic views and economic development models can no longer solve the growing energy paradox. Equitable distribution and effective allocation of energy resources， energy efficiency improvement， and coordinated development of energy economy become more and more critical. The focus of research in energy economics is beginning to shift to the development of alternative and complementary relationships between different energy sources and the interrelationship between systematically integrated energy sources and the economy. In 1975，H. A. Merklein’s “Energy Economics” was published， which marked the formal emergence of energy economics as a new branch of economics (Merklein， 1977). 1.3 Phase 皿 The harmonization of economic growth， resource consumption， eco？logical imbalance， environmental degradation， and other external impact issues associated with energy development and utilization has raised concerns. Since the mid-1980s， energy sustainability has become a central issue of research. More and more scholars are devoting their efforts to the issue of exter？nal diseconomy， such as energy and environment. The study of coordinated and sustainable development between energy， environment， and economic growth has become a current hot topic in energy economics. Econometric models and appli？cations on energy demand and supply， substitution between energy factors and other factors of production， and the relationship between energy and economic growth are being used more frequently. Some large-scale macroeconomic models on energy， environment， and economic growth have been established and widely adopted. Universities in many countries and regions are offering energy eco？nomics disciplines and energy economics courses. Energy economics is entering a booming phase. In general， the three phases of energy economics show that people’s under？standing has gone through a process from shallow to deep， from local to global， from simple to complex， and from concrete to abstract. Energy economics is also developed and matured in the process of deepening people’s understanding. 1.1.2 Framework for Big Data in Energy Economics Since the beginning of the twenty-first century， sustainable green use of energy has been widely promoted. Issues such as climate change and environmental pollution caused by the unreasonable development of energy have become the focus of the international community’s concerns. To achieve the organic coordination of energy development， economic growth， ecological balance， and environmental protection， people’s research focus has turned to the transformation of emerging technologies. To fundamentally so
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