Wind Power Ensemble Forecasting

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Wind Power Ensemble Forecasting

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Author : André Gensler
Publisher : kassel university press GmbH
ISBN 13 : 3737606366
Total Pages : 216 pages
Book Rating : 4.7/5 (376 download)

Book Synopsis Wind Power Ensemble Forecasting by : André Gensler

Download or read book Wind Power Ensemble Forecasting written by André Gensler and published by kassel university press GmbH. This book was released on 2019-01-16 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Wind Power Ensemble Forecasting

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Author : André Gensler
Publisher :
ISBN 13 : 9783737606370
Total Pages : pages
Book Rating : 4.6/5 (63 download)

Book Synopsis Wind Power Ensemble Forecasting by : André Gensler

Download or read book Wind Power Ensemble Forecasting written by André Gensler and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

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
Publisher : kassel university press GmbH
ISBN 13 : 3862190315
Total Pages : 174 pages
Book Rating : 4.8/5 (621 download)

Book Synopsis Grid and Market Integration of Large-Scale Wind Farms Using Advanced Wind Power Forecasting: Technical and Energy Economic Aspects by : Ümit Cali

Download or read book Grid and Market Integration of Large-Scale Wind Farms Using Advanced Wind Power Forecasting: Technical and Energy Economic Aspects written by Ümit Cali and published by kassel university press GmbH. This book was released on 2011 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Improving Short-term Wind Power Forecasting Through Measurements and Modeling of the Tehachapi Wind Resource Area

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Author : Aubryn Cooperman
Publisher :
ISBN 13 :
Total Pages : 86 pages
Book Rating : 4.:/5 (318 download)

Book Synopsis Improving Short-term Wind Power Forecasting Through Measurements and Modeling of the Tehachapi Wind Resource Area by : Aubryn Cooperman

Download or read book Improving Short-term Wind Power Forecasting Through Measurements and Modeling of the Tehachapi Wind Resource Area written by Aubryn Cooperman and published by . This book was released on 2018 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Postprocessing of Ensemble Forecasts

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Author : Stéphane Vannitsem
Publisher : Elsevier
ISBN 13 : 012812248X
Total Pages : 362 pages
Book Rating : 4.1/5 (281 download)

Book Synopsis Statistical Postprocessing of Ensemble Forecasts by : Stéphane Vannitsem

Download or read book Statistical Postprocessing of Ensemble Forecasts written by Stéphane Vannitsem and published by Elsevier. This book was released on 2018-05-17 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place Provides real-world examples of methods used to formulate forecasts Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner

IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions

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Author : Corinna Möhrlen
Publisher : Academic Press
ISBN 13 : 0443186820
Total Pages : 390 pages
Book Rating : 4.4/5 (431 download)

Book Synopsis IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions by : Corinna Möhrlen

Download or read book IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions written by Corinna Möhrlen and published by Academic Press. This book was released on 2022-11-12 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published as an Open Access book available on Science Direct, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions translates decades of academic knowledge and standard requirements into applicable procedures and decision support tools for the energy industry. Designed specifically for practitioners in the energy industry, readers will find the tools to maximize the value of renewable energy forecast information in operational decision-making applications and significantly reduce the costs of integrating large amounts of wind and solar generation assets into grid systems through more efficient management of the renewable generation variability. Authored by a group of international experts as part of the IEA Wind Task 36 (Wind Energy Forecasting), the book addresses the issue that many current operational forecast solutions are not properly optimized for their intended applications. It provides detailed guidelines and recommended practices on forecast solution selection processes, designing and executing forecasting benchmarks and trials, forecast solution evaluation, verification, and validation, and meteorological and power data requirements for real-time forecasting applications. In addition, the guidelines integrate probabilistic forecasting, integrate wind and solar forecasting, offer improved IT data exchange and data format standards, and have a dedicated section to dealing with the requirements for SCADA and meteorological measurements. A unique and comprehensive reference, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions is an essential guide for all practitioners involved in wind and solar energy generation forecasting from forecast vendors to end-users of renewable forecasting solutions. Brings together the decades-long expertise of authors from a range of backgrounds, including universities and government laboratories, commercial forecasters, and operational forecast end-users into a single comprehensive set of practices Addresses all areas of wind power forecasting, including forecasting methods, measurement selection, setup and data quality control, and the evaluation of forecasting processes related to renewable energy forecasting Provides purpose-built decision-support tools, process diagrams, and code examples to help readers visualize and navigate the book and support decision-making

Renewable Energy Forecasting

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Author : Georges Kariniotakis
Publisher : Woodhead Publishing
ISBN 13 : 0081005059
Total Pages : 386 pages
Book Rating : 4.0/5 (81 download)

Book Synopsis Renewable Energy Forecasting by : Georges Kariniotakis

Download or read book Renewable Energy Forecasting written by Georges Kariniotakis and published by Woodhead Publishing. This book was released on 2017-09-29 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets. Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects. Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries Reviews state-of-the-science techniques for renewable energy forecasting Contains chapters on operational applications

Weather Matters for Energy

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Author : Alberto Troccoli
Publisher : Springer Science & Business Media
ISBN 13 : 1461492211
Total Pages : 528 pages
Book Rating : 4.4/5 (614 download)

Book Synopsis Weather Matters for Energy by : Alberto Troccoli

Download or read book Weather Matters for Energy written by Alberto Troccoli and published by Springer Science & Business Media. This book was released on 2014-01-18 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is the purpose of this book to provide the meteorological knowledge and tools to improve the risk management of energy industry decisions, ranging from the long term finance and engineering planning assessments to the short term operational measures for scheduling and maintenance. Most of the chapters in this book are based on presentations given at the inaugural International Conference Energy & Meteorology (ICEM), held in the Gold Coast, Australia, 8-11 November 2011. The main aim of the conference was to strengthen the link between Energy and Meteorology, so as to make meteorological information more relevant to the planning and operations of the energy sector. The ultimate goal would be to make the best use of weather and climate data in order to achieve a more efficient use of energy sources. This book seeks to realise the same objective.

Physical Approach to Short-Term Wind Power Prediction

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Author : Matthias Lange
Publisher : Springer Science & Business Media
ISBN 13 : 3540311068
Total Pages : 208 pages
Book Rating : 4.5/5 (43 download)

Book Synopsis Physical Approach to Short-Term Wind Power Prediction by : Matthias Lange

Download or read book Physical Approach to Short-Term Wind Power Prediction written by Matthias Lange and published by Springer Science & Business Media. This book was released on 2006-01-16 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effective integration of wind energy into the overall electricity supply is a technical and economical challenge because the availability of wind power is determined by fluctuating meteorological conditions. This book offers an approach to the ultimate goal of the short-term prediction of the power output of winds farms. Starting from basic aspects of atmospheric fluid dynamics, the authors discuss the structure of winds fields, the available forecast systems and the handling of the intrinsic, weather-dependent uncertainties in the regional prediction of the power generated by wind turbines. This book addresses scientists and engineers working in wind energy related R and D and industry, as well as graduate students and nonspecialists researchers in the fields of atmospheric physics and meteorology.

2020 International Symposium on Computer, Consumer and Control

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Author : Chia-Hung Lin
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (126 download)

Book Synopsis 2020 International Symposium on Computer, Consumer and Control by : Chia-Hung Lin

Download or read book 2020 International Symposium on Computer, Consumer and Control written by Chia-Hung Lin and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

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Author : Harsh S. Dhiman
Publisher : Academic Press
ISBN 13 : 0128213531
Total Pages : 216 pages
Book Rating : 4.1/5 (282 download)

Book Synopsis Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction by : Harsh S. Dhiman

Download or read book Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction written by Harsh S. Dhiman and published by Academic Press. This book was released on 2020-01-20 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Development of an Offshore Specific Wind Power Forecasting System

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Author : Melih Kurt
Publisher : kassel university press GmbH
ISBN 13 : 3737603464
Total Pages : 200 pages
Book Rating : 4.7/5 (376 download)

Book Synopsis Development of an Offshore Specific Wind Power Forecasting System by : Melih Kurt

Download or read book Development of an Offshore Specific Wind Power Forecasting System written by Melih Kurt and published by kassel university press GmbH. This book was released on 2017-01-01 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Ensemble Forecasting Applied to Power Systems

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Author : Antonio Bracale
Publisher : MDPI
ISBN 13 : 303928312X
Total Pages : 134 pages
Book Rating : 4.0/5 (392 download)

Book Synopsis Ensemble Forecasting Applied to Power Systems by : Antonio Bracale

Download or read book Ensemble Forecasting Applied to Power Systems written by Antonio Bracale and published by MDPI. This book was released on 2020-03-10 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.

Advances in Wind Energy Conversion Technology

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Author : Mathew Sathyajith
Publisher : Springer Science & Business Media
ISBN 13 : 3540882588
Total Pages : 216 pages
Book Rating : 4.5/5 (48 download)

Book Synopsis Advances in Wind Energy Conversion Technology by : Mathew Sathyajith

Download or read book Advances in Wind Energy Conversion Technology written by Mathew Sathyajith and published by Springer Science & Business Media. This book was released on 2011-04-29 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an annual growth rate of over 35%, wind is the fastest growing energy source in the world today. As a result of intensive research and developmental efforts, the technology of generating energy from wind has significantly changed during the past five years. The book brings together all the latest aspects of wind energy conversion technology - right from the wind resource analysis to grid integration of the wind generated electricity. The chapters are contributed by academic and industrial experts having vast experience in these areas. Each chapter begins with an introduction explaining the current status of the technology and proceeds further to the advanced lever to cater for the needs of readers from different subject backgrounds. Extensive bibliography/references appended to each chapter give further guidance to the interested readers.

Artificial Intelligence for Renewable Energy Systems

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Author : Ajay Kumar Vyas
Publisher : John Wiley & Sons
ISBN 13 : 1119761697
Total Pages : 276 pages
Book Rating : 4.1/5 (197 download)

Book Synopsis Artificial Intelligence for Renewable Energy Systems by : Ajay Kumar Vyas

Download or read book Artificial Intelligence for Renewable Energy Systems written by Ajay Kumar Vyas and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Integration of Large-Scale Renewable Energy into Bulk Power Systems

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Author : Pengwei Du
Publisher : Springer
ISBN 13 : 3319555812
Total Pages : 337 pages
Book Rating : 4.3/5 (195 download)

Book Synopsis Integration of Large-Scale Renewable Energy into Bulk Power Systems by : Pengwei Du

Download or read book Integration of Large-Scale Renewable Energy into Bulk Power Systems written by Pengwei Du and published by Springer. This book was released on 2017-05-06 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book outlines the challenges that increasing amounts of renewable and distributed energy represent when integrated into established electricity grid infrastructures, offering a range of potential solutions that will support engineers, grid operators, system planners, utilities, and policymakers alike in their efforts to realize the vision of moving toward greener, more secure energy portfolios. Covering all major renewable sources, from wind and solar, to waste energy and hydropower, the authors highlight case studies of successful integration scenarios to demonstrate pathways toward overcoming the complexities created by variable and distributed generation.

Wind Power Integration

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Author : Brendan Fox
Publisher : IET
ISBN 13 : 0863414494
Total Pages : 290 pages
Book Rating : 4.8/5 (634 download)

Book Synopsis Wind Power Integration by : Brendan Fox

Download or read book Wind Power Integration written by Brendan Fox and published by IET. This book was released on 2007-06-20 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential book examines the main problems of wind power integration and guides the reader through a number of the most recent solutions based on current research and operational experience of wind power integration.