Wind Forecasting In Railway Engineering
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Wind Forecasting In Railway Engineering
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Author : Hui Liu
language : en
Publisher: Elsevier
Release Date : 2021-06-17
Wind Forecasting In Railway Engineering written by Hui Liu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-17 with Technology & Engineering categories.
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
Wind Forecasting In Railway Engineering
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Author : 刘辉
language : en
Publisher:
Release Date : 2021
Wind Forecasting In Railway Engineering written by 刘辉 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Engineering meteorology categories.
Supervised Machine Learning In Wind Forecasting And Ramp Event Prediction
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Author : Harsh S. Dhiman
language : en
Publisher: Academic Press
Release Date : 2020-01-20
Supervised Machine Learning In Wind Forecasting And Ramp Event Prediction written by Harsh S. Dhiman and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-20 with Machine learning categories.
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance. Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation. Features various supervised machine learning based regression models Offers global case studies for turbine wind farm layouts Includes state-of-the-art models and methodologies in wind forecasting
Wind Power Ensemble Forecasting
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Author : André Gensler
language : en
Publisher: kassel university press GmbH
Release Date : 2019-01-16
Wind Power Ensemble Forecasting written by André Gensler and has been published by kassel university press GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-16 with Weights and measures categories.
This thesis describes performance measures and ensemble architectures for deterministic and probabilistic forecasts using the application example of wind power forecasting and proposes a novel scheme for the situation-dependent aggregation of forecasting models. For performance measures, error scores for deterministic as well as probabilistic forecasts are compared, and their characteristics are shown in detail. For the evaluation of deterministic forecasts, a categorization by basic error measure and normalization technique is introduced that simplifies the process of choosing an appropriate error measure for certain forecasting tasks. Furthermore, a scheme for the common evaluation of different forms of probabilistic forecasts is proposed. Based on the analysis of the error scores, a novel hierarchical aggregation technique for both deterministic and probabilistic forecasting models is proposed that dynamically weights individual forecasts using multiple weighting factors such as weather situation and lead time dependent weighting. In the experimental evaluation it is shown that the forecasting quality of the proposed technique is able to outperform other state of the art forecasting models and ensembles.
Japanese Railway Engineering
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Author :
language : en
Publisher:
Release Date : 1989
Japanese Railway Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Railroad engineering categories.
Development Of An Offshore Specific Wind Power Forecasting System
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Author : Melih Kurt
language : en
Publisher: kassel university press GmbH
Release Date : 2017-01-01
Development Of An Offshore Specific Wind Power Forecasting System written by Melih Kurt and has been published by kassel university press GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with categories.
This study explains the data preparation processes, plausibility checking of meteorological parameters, correction of met-mast wind speed, and also the determination of the nominal power of a wind farm using met-mast measurements. The wind speed correction of met-mast FINO1 is evaluated from the perspective of power produced by alpha ventus by using uncorrected and corrected measurements from this met-mast. Afterwards this data is used for the determination of nominal power for alpha ventus.
Instant Wind Forecasting
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Author : Alan Watts
language : en
Publisher: Dodd Mead
Release Date : 1975-08-01
Instant Wind Forecasting written by Alan Watts and has been published by Dodd Mead this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975-08-01 with Science categories.
Near Real Time Wind Energy Forecasting Incorporating Wind Tunnel Modeling
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Author : William David Lubitz
language : en
Publisher:
Release Date : 2005
Near Real Time Wind Energy Forecasting Incorporating Wind Tunnel Modeling written by William David Lubitz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Shipbuilding Marine Engineering International
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Author :
language : en
Publisher:
Release Date : 1893
Shipbuilding Marine Engineering International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1893 with Marine engineering categories.
Applications Of Artificial Intelligence In Process Systems Engineering
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Author : Jingzheng Ren
language : en
Publisher: Elsevier
Release Date : 2021-06-05
Applications Of Artificial Intelligence In Process Systems Engineering written by Jingzheng Ren and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-05 with Technology & Engineering categories.
Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering