Wind Forecasting in Railway Engineering

Chapter 1 Introduction

1.1 Overview of wind forecasting in train wind engineering

1.2 Typical applications of railway wind engineering

1.2.1 Train overturning caused by wind

1.2.2 Pantograph-catenary vibration caused by wind

1.2.3 Bridge vibration caused by wind

1.2.4 Wind-resistant railway yard design

1.2.5 Wind-break wall design

1.2.6 Other scenarios

1.3 Key technical issues in wind signal processing

1.3.1 Wind measurement technology

1.3.2 Wind identification technology

1.3.3 Wind forecasting technology

1.3.4 Wind control technology

1.4 Wind forecasting technologies in railway wind engineering

1.4.1 Wind anemometer layout along railways

1.4.2 Single-point wind forecasting along railways

1.4.3 Spatial wind forecasting along railways

1.5 Scope of this book

1.6 References

Part I Wind Anemometer Layout for Railways
Chapter 2 Analysis of Flow Field Characteristics for Railways

2.1 Introduction

2.2 Analysis of spatial characteristics of railway flow field

2.3 Analysis of seasonal characteristics of railway flow field

2.4 Summary and outlook

2.5 References

Chapter 3 Wind Anemometer Layout Optimization Methods for Railways

3.1 Introduction

3.2 Layout optimization objective functions

3.3 Single-objective wind anemometer layout optimization algorithm

3.4 Multi-objective wind anemometer layout optimization algorithm

3.5 Summary and outlook

3.6 References

Part II Single-point Wind Forecasting for Railways
Chapter 4 Description of Single-point Wind Time Series for Railways

4.1 Introduction

4.2 Single-point wind speed - wind direction seasonal analysis

4.3 Single-point wind speed - wind direction heteroscedasticity analysis

4.4 Various single-point wind time series description algorithms

4.5 Description accuracy evaluation indicators

4.6 Summary and outlook

4.7 References

Chapter 5 Single-point Wind Forecasting Methods Based on Deep Learning

5.1 Introduction

5.2 Wind forecasting demand analysis and applications

5.3 Single-point wind speed forecasting algorithm based on LSTM

5.4 Single-point wind speed forecasting algorithm based on GRU

5.5 Single-point wind speed direction algorithm based on Seriesnet

5.6 Summary and outlook

5.7 References

Chapter 6 Single-point Wind Forecasting Methods for Railways Based on Reinforcement Learning

6.1 Introduction

6.2 Wind forecasting demand analysis and applicaitons

6.3 Single-point wind speed forecasting algorithm based on Q-learning

6.4 Single-point wind direction forecasting algorithm based on DDPG

6.5 Summary and outlook

6.6 References

Chapter 7 Single-point Wind Forecasting Methods for Railways Based on Ensemble Modelling

7.1 Introduction

7.2 Wind forecasting demand analysis and applications

7.3 Single-point wind speed forecasting algorithm based on multi-objective ensemble

7.4 Single-point wind speed forecasting algorithm based on Stacking

7.5 Single-point wind direction forecasting algorithm based on Boosting

7.6 Summary and outlook

7.7 References

Part III Spatial Wind Forecasting for Railways
Chapter 8 Description Methods of Spatial Wind for Railways

8.1 Introduction

8.2 Spatial wind correlation analysis

8.3 Spatial wind spatial description based on WRF

8.4 Description accuracy evaluation indicators

8.5 Summary and outlook

8.6 References

Chapter 9 Data-driven Spatial Wind Forecasting Methods for Railways

9.1 Introduction

9.2 Wind forecasting demand analysis and applications

9.3 Spatial wind forecasting algorithm based on statistical model

9.4 Spatial wind forecasting algorithm based on intelligent model

9.5 Spatial wind forecasting algorithm based on deep learning model

9.6 Summary and outlook

9.7 References