Near Real Time Wind Energy Forecasting Incorporating Wind Tunnel Modeling
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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.
Network And Communication Technology Innovations For Web And It Advancement
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Author : Alkhatib, Ghazi I.
language : en
Publisher: IGI Global
Release Date : 2012-10-31
Network And Communication Technology Innovations For Web And It Advancement written by Alkhatib, Ghazi I. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-31 with Computers categories.
With the steady stream of new web based information technologies being introduced to organizations, the need for network and communication technologies to provide an easy integration of knowledge and information sharing is essential. Network and Communication Technology Innovations for Web and IT Advancement presents studies on trends, developments, and methods on information technology advancements through network and communication technology. This collection brings together integrated approaches for communication technology and usage for web and IT advancements.
Emerging Capabilities And Applications Of Artificial Higher Order Neural Networks
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Author : Zhang, Ming
language : en
Publisher: IGI Global
Release Date : 2021-02-05
Emerging Capabilities And Applications Of Artificial Higher Order Neural Networks written by Zhang, Ming and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-05 with Computers categories.
Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research.
Real Time Forecasting For Renewable Energy Development
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Author : United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Energy and Environment
language : en
Publisher:
Release Date : 2010
Real Time Forecasting For Renewable Energy Development written by United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Energy and Environment and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Technology & Engineering categories.
"A significant barrier to the widespread adoption of many forms of renewable energy, including wind, solar, and marine and hydrokinetic power, is that these sources are intermittent. Electric grid managers address this intermittency by adjusting the delivery of other sources of power based on expected changes in renewable power output. These expected changes are called power production forecasts. Such forecasts must take into account changing weather conditions in conjunction with the land's topography near a renewable energy device, along with the device's expected technical performance ... Several recent reports have determined that improving the accuracy and frequency of these forecasts can have a major impact on the economic viability of renewable energy resources" ... This hearing provides "testimony on the roles that various Federal agencies as well as the private sector play in providing forecasting data and services relevant to expanding the availability of reliable, renewable power, and the extent to which these efforts are coordinated. The hearing will also explore any research, development, demonstration, and monitoring needs that are not currently being adequately addressed."--P. 3-4.
Grid And Market Integration Of Large Scale Wind Farms Using Advanced Wind Power Forecasting Technical And Energy Economic Aspects
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Author : Ümit Cali
language : en
Publisher: kassel university press GmbH
Release Date : 2011
Grid And Market Integration Of Large Scale Wind Farms Using Advanced Wind Power Forecasting Technical And Energy Economic Aspects written by Ümit Cali 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 2011 with categories.
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.
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.
Dissertation Abstracts International
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Author :
language : en
Publisher:
Release Date : 2008
Dissertation Abstracts 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 2008 with Dissertations, Academic categories.
Modeling And Control Aspects Of Wind Power Systems
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Author : S. M. Muyeen
language : en
Publisher: BoD – Books on Demand
Release Date : 2013-03-20
Modeling And Control Aspects Of Wind Power Systems written by S. M. Muyeen and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-20 with Technology & Engineering categories.
This book covers the recent development and progress of the wind energy conversion system. The chapters are contributed by prominent researchers in the field of wind energy and cover grid integration issues, modern control theories applied in wind energy conversion system, and dynamic and transient stability studies. Modeling and control strategies of different variable speed wind generators such as switched reluctance generator, permanent magnet synchronous generator, doubly-fed induction generator, including the suitable power electronic converter topologies for grid integration, are discussed. Real time control study of wind farm using Real Time Digital Simulator (RTDS) is also included in the book, along with Fault ride through, street light application, integrated power flow solutions, direct power control, wireless coded deadbeat power control, and other interesting topics.
Data Science For Wind Energy
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Author : Yu Ding
language : en
Publisher: CRC Press
Release Date : 2019-06-04
Data Science For Wind Energy written by Yu Ding and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-04 with Business & Economics categories.
Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights