能源經濟大數據（英文版）

定　價：￥198.00

作　者：	劉輝
出版社：	科學出版社
叢編項：
標　簽：	暫缺

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ISBN：	9787030716422	出版時間：	2022-03-01	包裝：	圓脊精裝
開本：	16開	頁數：	258	字數：

內容簡介

　　能源是人類社會賴以生存和發(fā)展的重要物質基礎，能源的生產消費對經濟發(fā)展起到至關重要的作用，而能源問題也成為全世界矚目的焦點。能源經濟學正是在這種背景下發(fā)展起來的一門年輕的科學。本書結合能源互聯網以及大數據建模技術在能源經濟學中的應用，全面介紹了智慧能源經濟、大數據建模的相關理論、關鍵技術和應用實例?！禕R》全書分為11章：第1章從智慧能源經濟學概述進行分析，介紹了能源經濟學的能源互聯網關鍵技術，并介紹能源經濟大數據需求分析的必要性；第2章介紹石油市場能源經濟大數據分析，第3章介紹煤炭市場能源經濟大數據分析，第4章風電市場能源經濟大數據分析，第5章介紹光伏發(fā)電市場能源經濟大數據分析，第6章介紹電力市場能源經濟大數據分析，第7章介紹用電需求側節(jié)能減排大數據管理，第8章介紹新能源投資全生命周期成本、收益大數據分析，第9章介紹能源經濟宏觀敏感度分析，第10章介紹能源清潔化轉型優(yōu)化分析，第11章介紹全球能源互聯網綠色低碳能源經濟創(chuàng)新。《BR》

作者簡介

暫缺《能源經濟大數據（英文版）》作者簡介

圖書目錄

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