Wind Forecasting in Railway Engineering
Jun 2021 · Elsevier
eBook
362
Halaman
family_home
Memenuhi syarat
info
reportRating dan ulasan tidak diverifikasi Pelajari Lebih Lanjut
Tentang eBook ini
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 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 applications - 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
Tentang pengarang
He holds joint PhD degrees from the Central South University and from Rostock University in Germany, and also obtained his habilation in Automation Engineering from the University of Rostock. He has published over 40 papers in leading journals, as well as two monographs. He holds 35 patents in China on transportation robotics and artificial intelligence, and has received numerous academic awards. He has extensive research and industry experience both in rail transit and in robotics.
Beri rating eBook ini
Sampaikan pendapat Anda.
Informasi bacaan
Smartphone dan tablet
Instal aplikasi Google Play Buku untuk Android dan iPad/iPhone. Aplikasi akan disinkronkan secara otomatis dengan akun Anda dan dapat diakses secara online maupun offline di mana saja.
Laptop dan komputer
Anda dapat mendengarkan buku audio yang dibeli di Google Play menggunakan browser web komputer.
eReader dan perangkat lainnya
Untuk membaca di perangkat e-ink seperti Kobo eReaders, Anda perlu mendownload file dan mentransfernya ke perangkat Anda. Ikuti petunjuk Pusat bantuan yang mendetail untuk mentransfer file ke eReaders yang didukung.
