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Table of Contents
Intro
Contents
Project Risk Management for Real Estate Companies Under the New Policy
1 Introduction
2 Review of Relevant Research Literature
3 Construction of HHM-DEMATEL-ISM Project Risk Identification Model
3.1 Identifying Real Estate Project Risks Under New Policies Using HHM Methodology
3.2 Determining the Impact Relationship Between Risks Using the DEMATEL Method
3.3 Representation of the Relationship and Hierarchy Among Risks Using the ISM Model
4 Case Studies
5 Conclusions and Recommendations
5.1 Conclusions
5.2 Suggestions for Countermeasures
Research on Online Decision-Making Method for Oil Wells Shutting Down or Resetting Based on Dynamic Data-Driven
1 Introduction
2 Construction of Dynamic Data-Driven Application System
2.1 Construction of System Framework
2.2 LSTM Network Prediction Model
2.3 Online Decision Process
3 Example Analysis
3.1 Selection of Input Variables
3.2 Data Preprocessing
3.3 Prediction of Economic Benefits
3.4 Online Decision Making
4 Conclusion
References
Research on Risk Assessment of Natural Gas Supply in China Based on PSR
1 Introduction
2 Risk Evaluation Index System of Natural Gas Supply in China
2.1 Evaluation Index System Model
2.2 Principles for Establishing Evaluation System and Index System
2.3 Selection of Evaluation Indicators
3 Risk Assessment of Natural Gas Supply in China
3.1 Evaluation and Analysis Ideas of Natural Gas Supply Risk in China
3.2 Sample Selection and Data Source
3.3 Evaluation Index Weighting
3.4 Evaluate the Risk of Natural Gas Supply in China
4 Countermeasures
4.1 Enhance LNG Reserve Capacity and Relieve China's Natural Gas Supply Pressure
4.2 Develop Renewable Energy and Change the Current Situation of China's Energy Pattern
4.3 Strengthen Investment in Pipe Network Construction and Interconnection, and Actively Respond
References
Prediction of Comprehensive Pollution Index in Shandong Province Based on LSTM Neural Network
1 Introduction
2 Method
2.1 Recurrent Neural Network
2.2 Long and Short Term Memory Neural Network
3 Indicator Selection and Data Source
3.1 Data Sources and Indicators
3.2 Indicator Correlation Analysis
4 Model Construction and Empirical Analysis
4.1 Data Preprocessing
Contents
Project Risk Management for Real Estate Companies Under the New Policy
1 Introduction
2 Review of Relevant Research Literature
3 Construction of HHM-DEMATEL-ISM Project Risk Identification Model
3.1 Identifying Real Estate Project Risks Under New Policies Using HHM Methodology
3.2 Determining the Impact Relationship Between Risks Using the DEMATEL Method
3.3 Representation of the Relationship and Hierarchy Among Risks Using the ISM Model
4 Case Studies
5 Conclusions and Recommendations
5.1 Conclusions
5.2 Suggestions for Countermeasures
Research on Online Decision-Making Method for Oil Wells Shutting Down or Resetting Based on Dynamic Data-Driven
1 Introduction
2 Construction of Dynamic Data-Driven Application System
2.1 Construction of System Framework
2.2 LSTM Network Prediction Model
2.3 Online Decision Process
3 Example Analysis
3.1 Selection of Input Variables
3.2 Data Preprocessing
3.3 Prediction of Economic Benefits
3.4 Online Decision Making
4 Conclusion
References
Research on Risk Assessment of Natural Gas Supply in China Based on PSR
1 Introduction
2 Risk Evaluation Index System of Natural Gas Supply in China
2.1 Evaluation Index System Model
2.2 Principles for Establishing Evaluation System and Index System
2.3 Selection of Evaluation Indicators
3 Risk Assessment of Natural Gas Supply in China
3.1 Evaluation and Analysis Ideas of Natural Gas Supply Risk in China
3.2 Sample Selection and Data Source
3.3 Evaluation Index Weighting
3.4 Evaluate the Risk of Natural Gas Supply in China
4 Countermeasures
4.1 Enhance LNG Reserve Capacity and Relieve China's Natural Gas Supply Pressure
4.2 Develop Renewable Energy and Change the Current Situation of China's Energy Pattern
4.3 Strengthen Investment in Pipe Network Construction and Interconnection, and Actively Respond
References
Prediction of Comprehensive Pollution Index in Shandong Province Based on LSTM Neural Network
1 Introduction
2 Method
2.1 Recurrent Neural Network
2.2 Long and Short Term Memory Neural Network
3 Indicator Selection and Data Source
3.1 Data Sources and Indicators
3.2 Indicator Correlation Analysis
4 Model Construction and Empirical Analysis
4.1 Data Preprocessing