Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Author: Harsh S. Dhiman,Dipankar Deb,Valentina E. Balas
Publsiher: Academic Press
Total Pages: 216
Release: 2020-01-21
ISBN 10: 0128213671
ISBN 13: 9780128213674
Language: EN, FR, DE, ES & NL

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction Book Review:

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

Renewable Energy Optimization  Planning and Control
Author: Anita Khosla,Monika Aggarwal
Publsiher: Springer Nature
Total Pages: 186
Release: 2021-11-09
ISBN 10: 9811646635
ISBN 13: 9789811646638
Language: EN, FR, DE, ES & NL

Renewable Energy Optimization Planning and Control Book Review:

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

Soft Computing Applications
Author: Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Shahnaz N. Shahbazova
Publsiher: Springer Nature
Total Pages: 438
Release: 2020-08-14
ISBN 10: 3030519929
ISBN 13: 9783030519926
Language: EN, FR, DE, ES & NL

Soft Computing Applications Book Review:

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

Advances in Computational Intelligence
Author: Ignacio Rojas,Gonzalo Joya,Joan Cabestany
Publsiher: Springer
Total Pages: 661
Release: 2013-06-21
ISBN 10: 3642386792
ISBN 13: 9783642386794
Language: EN, FR, DE, ES & NL

Advances in Computational Intelligence Book Review:

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

Computational Sustainability

Computational Sustainability
Author: Jörg Lässig,Kristian Kersting,Katharina Morik
Publsiher: Springer
Total Pages: 276
Release: 2016-04-20
ISBN 10: 3319318586
ISBN 13: 9783319318585
Language: EN, FR, DE, ES & NL

Computational Sustainability Book Review:

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.

Flood Forecasting Using Machine Learning Methods

Flood Forecasting Using Machine Learning Methods
Author: Fi-John Chang,Kuolin Hsu,Li-Chiu Chang
Publsiher: MDPI
Total Pages: 366
Release: 2019-02-28
ISBN 10: 3038975486
ISBN 13: 9783038975489
Language: EN, FR, DE, ES & NL

Flood Forecasting Using Machine Learning Methods Book Review:

Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.

AI and Learning Systems

AI and Learning Systems
Author: Konstantinos Kyprianidis,Erik Dahlquist
Publsiher: BoD – Books on Demand
Total Pages: 272
Release: 2021-02-17
ISBN 10: 1789858771
ISBN 13: 9781789858778
Language: EN, FR, DE, ES & NL

AI and Learning Systems Book Review:

Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI

Advanced Wind Turbine Technology

Advanced Wind Turbine Technology
Author: Weifei Hu
Publsiher: Springer
Total Pages: 349
Release: 2018-05-07
ISBN 10: 3319781669
ISBN 13: 9783319781662
Language: EN, FR, DE, ES & NL

Advanced Wind Turbine Technology Book Review:

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.

Wind Power Ensemble Forecasting

Wind Power Ensemble Forecasting
Author: André Gensler
Publsiher: Unknown
Total Pages: 135
Release: 2019
ISBN 10: 9783737606370
ISBN 13: 3737606374
Language: EN, FR, DE, ES & NL

Wind Power Ensemble Forecasting Book Review:

Extreme Events

Extreme Events
Author: Mario Chavez,Michael Ghil,Jaime Urrutia-Fucugauchi
Publsiher: John Wiley & Sons
Total Pages: 438
Release: 2015-11-24
ISBN 10: 111915703X
ISBN 13: 9781119157038
Language: EN, FR, DE, ES & NL

Extreme Events Book Review:

The monograph covers the fundamentals and the consequences of extreme geophysical phenomena like asteroid impacts, climatic change, earthquakes, tsunamis, hurricanes, landslides, volcanic eruptions, flooding, and space weather. This monograph also addresses their associated, local and worldwide socio-economic impacts. The understanding and modeling of these phenomena is critical to the development of timely worldwide strategies for the prediction of natural and anthropogenic extreme events, in order to mitigate their adverse consequences. This monograph is unique in as much as it is dedicated to recent theoretical, numerical and empirical developments that aim to improve: (i) the understanding, modeling and prediction of extreme events in the geosciences, and, (ii) the quantitative evaluation of their economic consequences. The emphasis is on coupled, integrative assessment of the physical phenomena and their socio-economic impacts. With its overarching theme, Extreme Events: Observations, Modeling and Economics will be relevant to and become an important tool for researchers and practitioners in the fields of hazard and risk analysis in general, as well as to those with a special interest in climate change, atmospheric and oceanic sciences, seismo-tectonics, hydrology, and space weather.

Forecasting in Mathematics

Forecasting in Mathematics
Author: Abdo Abou Jaoude
Publsiher: BoD – Books on Demand
Total Pages: 154
Release: 2021-01-27
ISBN 10: 1838808256
ISBN 13: 9781838808259
Language: EN, FR, DE, ES & NL

Forecasting in Mathematics Book Review:

Mathematical probability and statistics are an attractive, thriving, and respectable part of mathematics. Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.

Advanced Control and Optimization Paradigms for Wind Energy Systems

Advanced Control and Optimization Paradigms for Wind Energy Systems
Author: Radu-Emil Precup,Tariq Kamal,Syed Zulqadar Hassan
Publsiher: Springer
Total Pages: 257
Release: 2019-02-07
ISBN 10: 9811359954
ISBN 13: 9789811359958
Language: EN, FR, DE, ES & NL

Advanced Control and Optimization Paradigms for Wind Energy Systems Book Review:

This book presents advanced studies on the conversion efficiency, mechanical reliability, and the quality of power related to wind energy systems. The main concern regarding such systems is reconciling the highly intermittent nature of the primary source (wind speed) with the demand for high-quality electrical energy and system stability. This means that wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without optimization and control. The book discusses the rapid growth of control and optimization paradigms and applies them to wind energy systems: new controllers, new computational approaches, new applications, new algorithms, and new obstacles.

Renewable Energy Forecasting

Renewable Energy Forecasting
Author: Georges Kariniotakis
Publsiher: Woodhead Publishing
Total Pages: 386
Release: 2017-09-29
ISBN 10: 0081005059
ISBN 13: 9780081005057
Language: EN, FR, DE, ES & NL

Renewable Energy Forecasting Book Review:

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

Integration of Large Scale Renewable Energy into Bulk Power Systems

Integration of Large Scale Renewable Energy into Bulk Power Systems
Author: Pengwei Du,Ross Baldick,Aidan Tuohy
Publsiher: Springer
Total Pages: 337
Release: 2017-06-15
ISBN 10: 3319555812
ISBN 13: 9783319555812
Language: EN, FR, DE, ES & NL

Integration of Large Scale Renewable Energy into Bulk Power Systems Book Review:

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.

Boosting

Boosting
Author: Robert E. Schapire,Yoav Freund
Publsiher: Adaptive Computation and Machine Learning series
Total Pages: 526
Release: 2014
ISBN 10: 0262526034
ISBN 13: 9780262526036
Language: EN, FR, DE, ES & NL

Boosting Book Review:

Boosting isan approach machine learning based on idea of creating an accurate predictor by combining many weak and inaccurate "rules of thumb". Boosting has connections with statistics, game theory, convex optimization and information geometry. Boostin algorithms have also nejoyed practical sucess in such fields as biology, vision, and speech processing.

Decision and Control in Hybrid Wind Farms

Decision and Control in Hybrid Wind Farms
Author: Harsh S. Dhiman,Dipankar Deb
Publsiher: Springer Nature
Total Pages: 140
Release: 2019-09-28
ISBN 10: 9811502757
ISBN 13: 9789811502750
Language: EN, FR, DE, ES & NL

Decision and Control in Hybrid Wind Farms Book Review:

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 the USA 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.

Corrosion and Corrosion Protection of Wind Power Structures in Marine Environments

Corrosion and Corrosion Protection of Wind Power Structures in Marine Environments
Author: Andreas Momber
Publsiher: Academic Press
Total Pages: 640
Release: 2021-12-15
ISBN 10: 9780323857420
ISBN 13: 0323857426
Language: EN, FR, DE, ES & NL

Corrosion and Corrosion Protection of Wind Power Structures in Marine Environments Book Review:

Corrosion and Corrosion Protection of Wind Power Structures in Marine Environments: Volume 1: Introduction and Corrosive Loads offers the first comprehensive review on corrosion and corrosion protection of offshore wind power structures. The book provides extensive discussion on corrosion phenomena and types in different marine corrosion zones, including the modeling of corrosion processes and interactions between corrosion and structural stability. The book addresses important design issues, namely materials selection relative to performance in marine environments, corrosion allowance, and constructive design. Active and passive corrosion protection measures are emphasized, with special sections on cathodic corrosion protection and the use of protective coatings. Seawater related issues associated with cathodic protection, such as calcareous deposit formation, hydrogen formation and fouling, are discussed. With respect to protective coatings, the book considers for the first time complete loading scenarios, including corrosive loads, mechanical loads, and special loads, and covers a wide range of coating materials. Problems associated with fouling and bacterial-induced corrosion are extensively reviewed. The book closes with a chapter on recent developments in maintenance strategies, inspection techniques, and repair technologies. The book is of special interest to materials scientists, materials developers, corrosion engineers, maintenance engineers, civil engineers, steel work designers, mechanical engineers, marine engineers. Offshore wind power is an emerging renewable technology and a key factor for a cleaner environment. Offshore wind power structures are situated in a demanding and challenging marine environment. The structures are loaded in a complex way, including mechanical loads and corrosive loads. Corrosion is one of the major limiting factors to the reliability and performance of the technology. Maintenance and repair of corrosion protection systems are particularly laborious and costly. Explores the literature between 1950 and 2020 and contains over 2000 references Offers the most complete monograph on the issue Covers all aspects of corrosion protection in detail, including coatings, cathodic protection, corrosion allowance, and constructive design, as well as maintenance and repair Delivers the most complete review on corrosion of metals in marine/offshore environments Focuses on all aspects of offshore wind power structures, including foundations, towers, internal sections, connection flanges, and transformation platforms

Optimization for Machine Learning

Optimization for Machine Learning
Author: Suvrit Sra,Sebastian Nowozin,Stephen J. Wright
Publsiher: MIT Press
Total Pages: 494
Release: 2012
ISBN 10: 026201646X
ISBN 13: 9780262016469
Language: EN, FR, DE, ES & NL

Optimization for Machine Learning Book Review:

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields. Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity, size, and variety of today's machine learning models call for the reassessment of existing assumptions. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. It also devotes attention to newer themes such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many of these techniques draw inspiration from other fields, including operations research, theoretical computer science, and subfields of optimization. The book will enrich the ongoing cross-fertilization between the machine learning community and these other fields, and within the broader optimization community.

Machine Learning for Networking

Machine Learning for Networking
Author: Éric Renault,Paul Mühlethaler,Selma Boumerdassi
Publsiher: Springer
Total Pages: 388
Release: 2019-07-08
ISBN 10: 3030199452
ISBN 13: 9783030199456
Language: EN, FR, DE, ES & NL

Machine Learning for Networking Book Review:

This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018. The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: Deep and reinforcement learning; Pattern recognition and classification for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection; Optimization and new innovative machine learning methods; Performance analysis of machine learning algorithms; Experimental evaluations of machine learning; Data mining in heterogeneous networks; Distributed and decentralized machine learning algorithms; Intelligent cloud-support communications, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.

Data Science and Intelligent Applications

Data Science and Intelligent Applications
Author: Ketan Kotecha,Vincenzo Piuri,Hetalkumar N. Shah,Rajan Patel
Publsiher: Springer Nature
Total Pages: 576
Release: 2020-06-17
ISBN 10: 9811544743
ISBN 13: 9789811544743
Language: EN, FR, DE, ES & NL

Data Science and Intelligent Applications Book Review:

This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.