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Decision and Control in Hybrid Wind Farms.
Book 217 of 378: Studies in Systems, Decision and ControlLanguage: English
Published by Singapore, Springer., 2020
ISBN 10: 9811502749 ISBN 13: 9789811502743
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
XXII, 140 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Systems, Decision and Control, Volume 253. Sprache: Englisch.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Decision and Control in Hybrid Wind Farms (Studies in Systems, Decision and Control, 253)
Book 217 of 378: Studies in Systems, Decision and ControlSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Decision and Control in Hybrid Wind Farms (Studies in Systems, Decision and Control)
Book 217 of 378: Studies in Systems, Decision and ControlSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Decision and Control in Hybrid Wind Farms
Book 217 of 378: Studies in Systems, Decision and ControlSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Language: English
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128213531 ISBN 13: 9780128213537
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 104.56
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New. pp. XXII, 140 64 illus., 62 illus. in color. 2020th edition NO-PA16APR2015-KAP.
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Decision and Control in Hybrid Wind Farms
Book 217 of 378: Studies in Systems, Decision and ControlSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction (Volume 1) (Wind Energy Engineering, Volume 1)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Paperback. Condition: Brand New. 164 pages. 9.25x6.10x0.39 inches. In Stock.
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Hardcover. Condition: Brand New. 164 pages. 9.25x6.10x0.59 inches. In Stock.
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Taschenbuch. Condition: Neu. Decision and Control in Hybrid Wind Farms | Harsh S. Dhiman (u. a.) | Taschenbuch | xxii | Englisch | 2020 | Springer | EAN 9789811502774 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 130.40
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Taschenbuch. Condition: Neu. Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction | Harsh S Dhiman | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2020 | Elsevier Inc | EAN 9780128213537 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Decision and Control in Hybrid Wind Farms
Book 217 of 378: Studies in Systems, Decision and ControlLanguage: English
Published by Springer, Palgrave Macmillan, 2019
ISBN 10: 9811502749 ISBN 13: 9789811502743
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal delivery of wind power to the utility grid. This decision-making is accompanied by accurate forecasts of wind speed, which must be known beforehand. Errors in wind forecasting can be compensated for by pumping power from a reserve capacity to the grid using a battery energy storage system (BESS). Alternatives based on penalty cost are assessed using certain criteria, and MCDM methods are used to evaluate the best choice. Further, considering the randomness in the dynamic phenomenon in wind farms, a fuzzy MCDM approach is applied during the decision-making process to evaluate the best alternative for hybrid wind farm operation. Case studies from wind farms in theUSA are presented, together with numerical solutions to the problem. In turn, the second part deals with the control aspect, and especially with yaw angle control, which facilitates power maximization at wind farms. A novel transfer function-based methodology is presented that controls the wake center of the upstream turbine(s); lidar-based numerical simulation is carried out for wind farm layouts; and an adaptive control strategy is implemented to achieve the desired yaw angle for upstream turbines. The proposed methodology is tested for two wind farm layouts. Wake management is also implemented for hybrid wind farms where BESS life enhancement is studied. The effect of yaw angle on the operational cost of BESS is assessed, and case studies for wind farm datasets from the USA and Denmark are discussed. Overall, the book provides a comprehensive guide to decision and control aspects for hybrid wind farms, which are particularly important from an industrial standpoint.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal delivery of wind power to the utility grid. This decision-making is accompanied by accurate forecasts of wind speed, which must be known beforehand. Errors in wind forecasting can be compensated for by pumping power from a reserve capacity to the grid using a battery energy storage system (BESS). Alternatives based on penalty cost are assessed using certain criteria, and MCDM methods are used to evaluate the best choice. Further, considering the randomness in the dynamic phenomenon in wind farms, a fuzzy MCDM approach is applied during the decision-making process to evaluate the best alternative for hybrid wind farm operation. Case studies from wind farms in theUSA are presented, together with numerical solutions to the problem. In turn, the second part deals with the control aspect, and especially with yaw angle control, which facilitates power maximization at wind farms. A novel transfer function-based methodology is presented that controls the wake center of the upstream turbine(s); lidar-based numerical simulation is carried out for wind farm layouts; and an adaptive control strategy is implemented to achieve the desired yaw angle for upstream turbines. The proposed methodology is tested for two wind farm layouts. Wake management is also implemented for hybrid wind farms where BESS life enhancement is studied. The effect of yaw angle on the operational cost of BESS is assessed, and case studies for wind farm datasets from the USA and Denmark are discussed. Overall, the book provides a comprehensive guide to decision and control aspects for hybrid wind farms, which are particularly important from an industrial standpoint.
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Condition: As New. Unread book in perfect condition.
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Kartoniert / Broschiert. Condition: New. 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 forecastingAutor/Autorin: H.
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Artificial Intelligence for Renewable Energy Systems
Book 8 of 16: Artificial Intelligence and Soft Computing for Industrial TransformationSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 160.25
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Artificial Intelligence for Renewable Energy Systems
Book 8 of 16: Artificial Intelligence and Soft Computing for Industrial TransformationSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 162.20
£ 15 shipping
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Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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