Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction Book

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction


  • Author : Harsh S. Dhiman
  • Publisher : Academic Press
  • Release Date : 2020-01-20
  • Genre: Machine learning
  • Pages : 216
  • ISBN 10 : 9780128213537
  • Total Read : 72
  • File Size : 17,9 Mb

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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction Summary:

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

Renewable Energy Optimization  Planning and Control Book

Renewable Energy Optimization Planning and Control


  • Author : Anita Khosla
  • Publisher : Springer Nature
  • Release Date : 2021-11-09
  • Genre: Technology & Engineering
  • Pages : 186
  • ISBN 10 : 9789811646638
  • Total Read : 61
  • File Size : 6,7 Mb

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Renewable Energy Optimization Planning and Control Summary:

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

Soft Computing Applications Book

Soft Computing Applications


  • Author : Valentina Emilia Balas
  • Publisher : Springer Nature
  • Release Date : 2020-08-14
  • Genre: Technology & Engineering
  • Pages : 438
  • ISBN 10 : 9783030519926
  • Total Read : 71
  • File Size : 11,8 Mb

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Soft Computing Applications Summary:

This book presents the proceedings of the 8th International Workshop on Soft Computing Applications, SOFA 2018, held on 13–15 September 2018 in Arad, Romania. The workshop was organized by Aurel Vlaicu University of Arad, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics – Arad Section, General Association of Engineers in Romania – Arad Section and BTM Resources Arad. The papers included in these proceedings, published post-conference, cover the research including Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks, Business Process Management, Computational Intelligence in Education and Modelling and Applications in Textiles and many other areas related to the Soft Computing. The book is directed to professors, researchers, and graduate students in area of soft computing techniques and applications.

Advances in Computational Intelligence Book

Advances in Computational Intelligence


  • Author : Ignacio Rojas
  • Publisher : Springer
  • Release Date : 2013-06-21
  • Genre: Computers
  • Pages : 661
  • ISBN 10 : 9783642386794
  • Total Read : 81
  • File Size : 12,6 Mb

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Advances in Computational Intelligence Summary:

This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications

Advanced Wind Turbine Technology Book

Advanced Wind Turbine Technology


  • Author : Weifei Hu
  • Publisher : Springer
  • Release Date : 2018-05-07
  • Genre: Technology & Engineering
  • Pages : 349
  • ISBN 10 : 9783319781662
  • Total Read : 80
  • File Size : 6,6 Mb

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Advanced Wind Turbine Technology Summary:

This book introduces the current challenges in modern wind turbine analysis, design and development, and provides a comprehensive examination of state-of-the-art technologies from both academia and industry. The twelve information-rich chapters cover a wide range of topics including reliability-based design, computational fluid dynamics, gearbox and bearing analyses, lightning analysis, structural dynamics, health condition monitoring, advanced techniques for field repair, offshore floating wind turbines, advanced turbine control and grid integration, and other emerging technologies. Each chapter begins with the current status of technology in a lucid, is easy-to-follow treatment, then elaborates on the corresponding advanced technology using detailed methodologies, graphs, mathematical models, computational simulations, and experimental instrumentation. Relevant to a broad audience from students and faculty to researchers, manufacturers, and wind energy engineers and designers, the book is ideal for both educational and research needs. Presents the latest developments in reliability-based design optimization, CFD of wind turbines, structural dynamics for wind turbine blades, off-shore floating wind turbines, advanced wind turbine control, and wind power and ramp forecasting for grid integration; Includes techniques for wind turbine gearboxes and bearings, evaluation of lightning strike damage, health condition monitoring and reparation techniques; Illustrates theories and operational considerations using graphics, tables, computational algorithms, simulation models, and experimental instrumentation; Examines unique, innovative technologies for wind energy.

Computational Sustainability Book

Computational Sustainability


  • Author : Jörg Lässig
  • Publisher : Springer
  • Release Date : 2016-04-20
  • Genre: Technology & Engineering
  • Pages : 276
  • ISBN 10 : 9783319318585
  • Total Read : 96
  • File Size : 18,8 Mb

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Computational Sustainability Summary:

The book at hand gives an overview of the state of the art research in Computational Sustainability as well as case studies of different application scenarios. This covers topics such as renewable energy supply, energy storage and e-mobility, efficiency in data centers and networks, sustainable food and water supply, sustainable health, industrial production and quality, etc. The book describes computational methods and possible application scenarios.

Utility scale Wind Turbines and Wind Farms Book

Utility scale Wind Turbines and Wind Farms


  • Author : Ahmad Vasel-Be-Hagh
  • Publisher : IET
  • Release Date : 2021-08-09
  • Genre: Technology & Engineering
  • Pages : 381
  • ISBN 10 : 9781839530999
  • Total Read : 71
  • File Size : 19,8 Mb

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Utility scale Wind Turbines and Wind Farms Summary:

Wind power is a pillar of low emission energy systems. Many recent advances have been achieved in multiple aspects of utility-scale wind power. This structured review conveys recent progress involving aerodynamics, layout, control, environmental concerns, forecasting and intermittency, combination with PV and offshore farms.

Wind Power Ensemble Forecasting Book

Wind Power Ensemble Forecasting


  • Author : André Gensler
  • Publisher : kassel university press GmbH
  • Release Date : 2019-01-16
  • Genre: Weights and measures
  • Pages : 216
  • ISBN 10 : 9783737606363
  • Total Read : 76
  • File Size : 7,8 Mb

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Wind Power Ensemble Forecasting Summary:

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.