Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

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

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  • Author : Harsh S. Dhiman
  • Publisher : Academic Press
  • Pages : 216 pages
  • ISBN : 0128213671
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSupervised Machine Learning in Wind Forecasting and Ramp Event Prediction

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
  • Publisher : Academic Press
  • Release : 21 January 2020
GET THIS BOOKSupervised Machine Learning in Wind Forecasting and Ramp Event Prediction

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,

Renewable Energy Optimization, Planning and Control

Renewable Energy Optimization, Planning and Control
  • Author : Anita Khosla,Monika Aggarwal
  • Publisher : Springer Nature
  • Release : 09 November 2021
GET THIS BOOKRenewable Energy Optimization, Planning and Control

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

Soft Computing Applications

Soft Computing Applications
  • Author : Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Shahnaz N. Shahbazova
  • Publisher : Springer Nature
  • Release : 14 August 2020
GET THIS BOOKSoft Computing Applications

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

Flood Forecasting Using Machine Learning Methods

Flood Forecasting Using Machine Learning Methods
  • Author : Fi-John Chang,Kuolin Hsu,Li-Chiu Chang
  • Publisher : MDPI
  • Release : 28 February 2019
GET THIS BOOKFlood Forecasting Using Machine Learning Methods

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

Advanced Wind Turbine Technology

Advanced Wind Turbine Technology
  • Author : Weifei Hu
  • Publisher : Springer
  • Release : 07 May 2018
GET THIS BOOKAdvanced Wind Turbine Technology

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

Introduction to Petroleum Biotechnology

Introduction to Petroleum Biotechnology
  • Author : James G. Speight,Nour Shafik El-Gendy
  • Publisher : Gulf Professional Publishing
  • Release : 11 December 2017
GET THIS BOOKIntroduction to Petroleum Biotechnology

Introduction to Petroleum Biotechnology introduces the petroleum engineer to biotechnology, bringing together the various biotechnology methods that are applied to recovery, refining and remediation in the uses of petroleum and petroleum products. A significant amount of petroleum is undiscoverable in reservoirs today using conventional and secondary methods. This reference explains how microbial enhanced oil recovery is aiding to produce more economical and environmentally-friendly metabolic events that lead to improved oil recovery. Meanwhile, in the downstream side of the industry, petroleum

AI and Learning Systems

AI and Learning Systems
  • Author : Konstantinos Kyprianidis,Erik Dahlquist
  • Publisher : BoD – Books on Demand
  • Release : 17 February 2021
GET THIS BOOKAI and Learning Systems

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

Decision and Control in Hybrid Wind Farms

Decision and Control in Hybrid Wind Farms
  • Author : Harsh S. Dhiman,Dipankar Deb
  • Publisher : Springer
  • Release : 17 October 2020
GET THIS BOOKDecision and Control in Hybrid Wind Farms

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

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
  • Publisher : Springer
  • Release : 06 May 2017
GET THIS BOOKIntegration of Large-Scale Renewable Energy into Bulk Power Systems

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

Computational Sustainability

Computational Sustainability
  • Author : Jörg Lässig,Kristian Kersting,Katharina Morik
  • Publisher : Springer
  • Release : 20 April 2016
GET THIS BOOKComputational Sustainability

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.

Data Science for Wind Energy

Data Science for Wind Energy
  • Author : Yu Ding
  • Publisher : CRC Press
  • Release : 04 June 2019
GET THIS BOOKData Science for Wind Energy

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

An Introduction to Neural Networks

An Introduction to Neural Networks
  • Author : Kevin Gurney
  • Publisher : CRC Press
  • Release : 08 October 2018
GET THIS BOOKAn Introduction to Neural Networks

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several

Wind Turbine Syndrome

Wind Turbine Syndrome
  • Author : Simon Chapman and Fiona Crichton
  • Publisher : Sydney University Press
  • Release : 30 November 2017
GET THIS BOOKWind Turbine Syndrome

In Wind Turbine Syndrome: A Communicated Disease, Simon Chapman and Fiona Crichton explore the claims and tactics of the anti-windfarm movement, examine the scientific evidence, and consider how best to respond to anti-windfarm arguments. This is an eye-opening account of the rise of the anti-windfarm movement, and a timely call for a more evidence-based approach.