Wind Forecasting in Railway Engineering

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  • Author : Hui Liu
  • Publisher : Elsevier
  • Pages : 350 pages
  • ISBN : 9780128237069
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Wind Forecasting in Railway Engineering

Download or Read online Wind Forecasting in Railway Engineering full in PDF, ePub and kindle. this book written by Hui Liu and published by Elsevier which was released on 15 June 2021 with total page 350 pages. We cannot guarantee that Wind Forecasting in Railway Engineering book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Strong wind represents one of the most significant risks to railway safety. If winds can be forecast, early-warning can be given to running trains. Failure to forecast dangerous winds, on the other hand, can lead to sudden cross-wind incidents. Consequently, accurate wind forecasting is vital. However, wind signals are difficult to track with statistical or physical methods. With new hybrid intelligence systems, nonlinear wind signals can now be predicted, using intelligent models. Bringing together the latest developments in railway engineering, wind engineering, and wind forecasting theory and technique, is critically important to this aspect of safe railways. Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The title is the first book to bring together wind speed forecasting and railway wind engineering, offering solutions from both fields. Key technologies are presented, and theories, modelling steps, and comparative analyses of forecasting technologies for railway wind engineering are given. Each chapter presents case studies and applications. The book consists in nine chapters, covering an introduction to typical applications and key issues; analysis of wind field characteristics; optimization methods for the placement of a wind anemometer; single-point time series along railways; deep learning algorithms on single-point wind forecasting; reinforcement learning algorithms; ensemble single-point wind forecasting methods; spatial wind; and data-driven spatial-temporal wind forecasting algorithms. This important book offers practical solutions for railway safety, by bringing together the latest technologies in wind speed forecasting and railway wind engineering into a single volume. Presents the core technologies and most advanced developments in wind forecasting for railway engineering Gives case studies and experimental designs, demonstrating real-world application Introduces cutting-edge deep learning and reinforcement learning methods Combines the latest thinking from wind engineering and railway engineering Offers a complete solution to wind forecasting in railway engineering for the safety of running trains

Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering
  • Author : Hui Liu
  • Publisher : Elsevier
  • Release : 15 June 2021
GET THIS BOOK Wind Forecasting in Railway Engineering

Strong wind represents one of the most significant risks to railway safety. If winds can be forecast, early-warning can be given to running trains. Failure to forecast dangerous winds, on the other hand, can lead to sudden cross-wind incidents. Consequently, accurate wind forecasting is vital. However, wind signals are difficult to track with statistical or physical methods. With new hybrid intelligence systems, nonlinear wind signals can now be predicted, using intelligent models. Bringing together the latest developments in railway engineering,

Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering
  • Author : Hui Liu
  • Publisher : Elsevier
  • Release : 24 June 2021
GET THIS BOOK Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The title brings together wind speed forecasting and railway wind engineering, offering solutions from both fields. Key technologies are presented, along with theories, modeling steps and comparative analyses of forecasting technologies. Each chapter presents case studies and applications, including typical applications and key issues, analysis of wind field characteristics, optimization methods for the placement of a wind anemometer, single-point time series along railways, deep

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GET THIS BOOK Train Aerodynamics

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