Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering is a comprehensive book that combines core and leading-edge technologies in wind forecasting for railway engineering, offering practical solutions for railway safety.

Format: Paperback / softback
Length: 362 pages
Publication date: 23 June 2021
Publisher: Elsevier Science Publishing Co Inc

Wind Forecasting in Railway Engineering is a comprehensive and cutting-edge book that delves into the realm of wind forecasting for railway engineering. It brings together the core and advanced technologies in this field, offering solutions from both wind speed forecasting and railway wind engineering. The title effectively unites these two disciplines, providing readers with a comprehensive resource that addresses the challenges and opportunities associated with wind forecasting in the railway industry.

The book begins by introducing key technologies and theories related to wind forecasting. It explains the modeling steps involved in predicting wind speed and direction, as well as the comparative analyses of different forecasting technologies. Each chapter presents case studies and applications, showcasing typical scenarios and key issues encountered in wind forecasting for railways. These case studies cover a wide range of topics, including wind field characteristics, optimization methods for wind anemometer placement, single-point time series analysis along railways, deep learning algorithms for single-point wind forecasting, reinforcement learning algorithms, ensemble single-point wind forecasting methods, spatial wind analysis, and data-driven spatial-temporal wind forecasting algorithms.

By presenting these diverse case studies and applications, the book provides practical insights and solutions for railway safety. It equips readers with the latest technologies in wind speed forecasting and railway wind engineering, enabling them to make informed decisions and implement effective measures to mitigate the risks associated with wind-related phenomena.

One of the key strengths of Wind Forecasting in Railway Engineering is its comprehensive coverage of various forecasting methods and algorithms. The book discusses both traditional approaches, such as statistical models and physical equations, as well as emerging technologies, such as deep learning and reinforcement learning. This approach ensures that readers have access to the most up-to-date and effective tools for wind forecasting in the railway industry.

Furthermore, the book emphasizes the importance of data-driven approaches in wind forecasting. It highlights the role of historical wind data, weather patterns, and other relevant factors in improving the accuracy and reliability of wind forecasts. By leveraging data-driven techniques, railway engineers can make more informed decisions and optimize the placement of wind anemometers, reducing the risk of wind-related accidents and improving operational efficiency.

In conclusion, Wind Forecasting in Railway Engineering is an essential resource for railway engineers, researchers, and professionals involved in wind forecasting and railway safety. It offers a comprehensive and up-to-date overview of the latest technologies and methods in wind forecasting, providing practical solutions for railway safety and operational efficiency. With its extensive coverage of forecasting methods, case studies, and applications, this book is a valuable tool for anyone seeking to improve their understanding and expertise in this field.

Weight: 590g
Dimension: 152 x 229 x 22 (mm)
ISBN-13: 9780128237069