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
This book provides a basic understanding of adaptive control and its applications in Flight control. It discusses the designing of an adaptive feedback control system and analyzes this for flight control of linear and nonlinear aircraft models using synthetic jet actuators. It also discusses control methodologies and the application of control techniques which will help practicing flight control and active flow control researchers. It also covers modelling and control designs which will also benefit researchers from the background of fluid mechanics and health management of actuation systems. The unique feature of this book is characterization of synthetic jet actuator nonlinearities over a wide range of angles of attack, an adaptive compensation scheme for such nonlinearities, and a systematic framework for feedback control of aircraft dynamics with synthetic jet actuators.
This book covers selected topics and methods for peripheral security, which are gaining attention nowadays. The book discusses the security arrangement and methods for monitoring the inside/outside entry of peripheral areas that need to be secured. It relates to a periphery, often portable device (as well as the methods employed, and systems including such a peripheral device and a host central command device with which the local geographical command device communicates), enabling one or more security operations performed by the peripheral device. It also covers the security scenario of snow-prone areas in a remote location. It also elaborates how we can secure the person and devices in extremely cold conditions and rescue them. This book helps the researchers, academicians, and industry persons working in security areas to protect unauthentic entry in large scale areas that may be defense camps or civilian applications like large-sized bungalows, institutes, and organizations of national importance. The experimental results are in close conformance to the proposed methodologies.
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.
This book at hand is an appropriate addition to the field of fractional calculus applied to control systems. If an engineer or a researcher wishes to delve into fractional-order systems, then this book has many collections of such systems to work upon, and this book also tells the reader about how one can convert an integer-order system into an appropriate fractional-order one through an efficient and simple algorithm. If the reader further wants to explore the controller design for the fractional-order systems, then for them, this book provides a variety of controller design strategies. The use of fractional-order derivatives and integrals in control theory leads to better results than integer-order approaches and hence provides solid motivation for further development of control theory. Fractional-order models are more useful than the integer-order models when accuracy is of paramount importance. Real-time experimental validation of controller design strategies for the fractional-order plants is available. This book is beneficial to the academic institutes for postgraduate and advanced research-level that need a specific textbook on fractional control and its applications in srobotic manipulators. The book is also a valuable teaching and learning resource for undergraduate and postgraduate students.
This book addresses a range of solutions and effective control techniques for Microbial Fuel Cells (MFCs), intended as a response to the increased energy consumption and wastewater production stemming from globalization. It describes the fundamentals of MFCs and control-oriented mathematical models, and provides detailed information on uncertain parameters. Various control techniques like robust control with LMI, adaptive backstepping control, and exact linearization control are developed for different mathematical models. In turn, the book elaborates on the basics of adaptive control, presenting several methods in detail. It also demonstrates how MFCs can be developed at the laboratory level, equipping readers to develop their own MFCs for experimental purposes. In closing, it develops a transfer function model for MFCs by combining a system identification technique and model reference adaptive control techniques. By addressing one of the most promising sources of clean and renewable energy, this book provides a viable solution for meeting the world’s increasing energy demands.
Degradation, Mitigation and Forecasting Approaches in Thin Film Photovoltaics covers detailed descriptions of cell to module level fundamentals of photovoltaics including thin-film materials, performance, maintenance procedures and performance forecasting approaches. Designed to help readers better understand the complexities of photovoltaics, covering the most important aspects of PV cell design, fabrication and performance limiting issues coupled with case studies dedicated towards the forecasting approaches for performance degradations occurring in PV panels. Through theoretical and experimental techniques and methods for performance prediction of the PV cells and modules, this reference concludes with an analysis of the emerging PV technologies for the future. Particularly helpful to researchers because the chapters are aligned in a way that enables readers to start from the fundamentals of PVs and end up with a sound understanding of the current and upcoming PV challenges and ways to deal with them. - Describes thin-film photovoltaics from material to cell level, along with performance limiting issues - Addresses issues pertaining to photovoltaic panel maintenance and cleaning procedures - Includes forecasting approaches of potential induced degradation occurring in PVs through theoretical and experimental methods
Enable smart homes with IoT open-source technologies KEY FEATURES ● Learn to make your home smarter with IoT and AI at a very low cost. ● Live examples along with code and circuit samples which you can readily use. ● Learn scenario-based AI-based home automation techniques. DESCRIPTION This practical guide, "Smart Home Automation with IoT" shows you how to create a smart home without breaking the bank. Instead of relying on expensive, closed systems, you utilize the power of the Internet of Things (IoT) with open-source software to design a custom smart home experience that perfectly suits your needs. This book teaches you to create smart home IoT solutions using Raspberry Pi and microcontrollers like Arduino, NodeMCU (ESP8266), and ESP32. You will learn to program these microcontrollers, control relay modules, and use sensors for data collection. The guide covers using OpenHAB, InfluxDB, Mosquitto MQTT Broker, and Grafana with Raspberry Pi, enabling a unified system without coding. It also shows how to connect OpenHAB to Alexa or Google Home for voice commands and automate tasks like lighting. Bonus content includes using Raspberry Pi GPIO pins, AI-based hand gesture and face detection, and Docker containers. By the end of this book, you will be a confident smart home builder, equipped with the knowledge and skills to design, implement, and manage a customized system using open-source software. WHAT YOU WILL LEARN ● Learn how to implement smart home solution using open-source technologies. ● Learn programming microcontrollers (ESP32, ESP8266, Arduino) using Arduino IDE to integrate with relays and sensors. ● Learn how to install and set up Raspberry Pi for home automation server. ● Learn how to develop Python programs for AI-based automation scenarios. WHO THIS BOOK IS FOR This book aims to be a useful guide for IoT enthusiasts, engineers and professionals, as well as students who want to learn how to DIY smart home automation with IoT. TABLE OF CONTENTS 1. Introduction to IoT and Home Automation 2. Setting up Home Automation Platform on Raspberry Pi 3. Using NodeMCU and ESP32 with Relays and Actuators as Control Switch 4. Connecting Various Common Sensors using Arduino 5. Connect Sensors and Relays with OpenHAB IoT and Voice Chatbots 6. Developing Dashboards using Grafana to Monitor Smart Home and IoT Devices 7. Get more out of Raspberry Pi
Evolutionary algorithms - an overview. Robust encodings in genetic algorithms. Genetic engineering and design problems. The generation of form using an evolutionary approach. Evolutionary optimization of composite structures. Flaw detection and configuration with genetic algorithms. A genetic algorithm approach for river management. Hazards in genetic design methodologies. The identification and characterization of workload classes. Lossless and Lossy data compression. Database design with genetic algorithms. Designing multiprocessor scheduling algorithms using a distributed genetic algorithm system. Prototype based supervised concept learning using genetic algorithms. Prototyping intelligent vehicle modules using evolutionary algorithms. Gate-level evolvable hardware: empirical study and application. Physical design of VLSI circuits and the application of genetic algorithms. Statistical generalization of performance-related heuristcs for knowledge-lean applications. Optimal scheduling of thermal power generation using evolutionary algorithms. Genetic algorithms and genetic programming for control. Global structure evolution and local parameter learning for control system model reductions. Adaptive recursive filtering using evolutionary algorithms. Numerical techniques for efficient sonar bearing and range searching in the near field using genetic algorithms. Signal design for radar imaging in radar astronomy: genetic optimization. Evolutionary algorithms in target acquisition and sensor fusion. Strategies for the integration of evolutionary/ adaptive search with the engineering design process. identification of mechanical inclusions. GeneAS: a robust optimal design technique for mechanical component design. Genetic algorithms for optimal cutting. Practical issues and recent advances in Job- and Open-Shop scheduling. The key steps to achieve mass customization.
This book is dedicated to advances in the field of user authentication. The book covers detailed description of the authentication process as well as types of authentication modalities along with their several features (authentication factors). It discusses the use of these modalities in a time-varying operating environment, including factors such as devices, media and surrounding conditions, like light, noise, etc. The book is divided into several parts that cover descriptions of several biometric and non-biometric authentication modalities, single factor and multi-factor authentication systems (mainly, adaptive), negative authentication system, etc. Adaptive strategy ensures the incorporation of the existing environmental conditions on the selection of authentication factors and provides significant diversity in the selection process. The contents of this book will prove useful to practitioners, researchers and students. The book is suited to be used a text in advanced/graduate courses on User Authentication Modalities. It can also be used as a textbook for professional development and certification coursework for practicing engineers and computer scientists.
G.B. Shaw Is A Literary Mohican Who Bestrode Modern Thought Like A Colossus, But He Was Not A Historian In A Popular Sense. He Wrote Many Plays On Historical Themes, And The Success Of His Historical Plays Shows What He Could Have Achieved If He Had Devoted Himself To Historical Drama.The Present Book Major History Plays Of Shaw: A Fresh Look Presents A Close Study Of Shaw S Select History Plays, Especially The Shavian Notion Of Historical Truth. Shaw, Perhaps, Does Not Believe That History Is Only A Storehouse Of Past Records. He Views The Past Critically As A Step Towards Changing The Present. For Shaw, Historical Truth Is Intensely Related To The Growth Of His Mind, His Firm Faith In The Creed Of Creative Evolution.It Is A Well Conceived And Lucidly Written Book And Commends Itself For Academic Respectability. In This Scholarly Endeavour, Readers Interested In Shaw S Works Will Find Much To Engage Their Attention. It Is Particularly Useful For The Students, Researchers And Teachers Of English Literature.
Mrinal Sen is one of India's finest film makers and one of its most renowned in international circles. After an inauspicious feature debut, Sen found his feet with critically acclaimed films like "Baishey Shravana" in 1960, and "Akash Kusum" in 1965. His "Bhuvan Shome" in 1969 inspired a whole new generation of film makers.
Degradation, Mitigation and Forecasting Approaches in Thin Film Photovoltaics covers detailed descriptions of cell to module level fundamentals of photovoltaics including thin-film materials, performance, maintenance procedures and performance forecasting approaches. Designed to help readers better understand the complexities of photovoltaics, covering the most important aspects of PV cell design, fabrication and performance limiting issues coupled with case studies dedicated towards the forecasting approaches for performance degradations occurring in PV panels. Through theoretical and experimental techniques and methods for performance prediction of the PV cells and modules, this reference concludes with an analysis of the emerging PV technologies for the future. Particularly helpful to researchers because the chapters are aligned in a way that enables readers to start from the fundamentals of PVs and end up with a sound understanding of the current and upcoming PV challenges and ways to deal with them. - Describes thin-film photovoltaics from material to cell level, along with performance limiting issues - Addresses issues pertaining to photovoltaic panel maintenance and cleaning procedures - Includes forecasting approaches of potential induced degradation occurring in PVs through theoretical and experimental methods
The book covers all the important aspects of research methodology, and addresses the specific requirements of engineering students, such as methods and tools, in detail. It also discusses effective research in engineering today, which requires the ability to undertake literature reviews utilizing different online databases, to attribute credit for any prior work mentioned, to respect intellectual property rights while simultaneously maintaining ethics in research, and much more. Further, the book also considers soft skills like research management and planning, dealing with criticism in research and presentation skills, which are all equally important and need to include in research methodology education. Lastly, it provides the technical knowhow needed to file patents in academia, an important area that is often ignored in research methodology books. The book is a particularly valuable resource for PhD students in India and South East Asia, as research methodology is a part of their coursework.
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.
This book addresses a range of solutions and effective control techniques for Microbial Fuel Cells (MFCs), intended as a response to the increased energy consumption and wastewater production stemming from globalization. It describes the fundamentals of MFCs and control-oriented mathematical models, and provides detailed information on uncertain parameters. Various control techniques like robust control with LMI, adaptive backstepping control, and exact linearization control are developed for different mathematical models. In turn, the book elaborates on the basics of adaptive control, presenting several methods in detail. It also demonstrates how MFCs can be developed at the laboratory level, equipping readers to develop their own MFCs for experimental purposes. In closing, it develops a transfer function model for MFCs by combining a system identification technique and model reference adaptive control techniques. By addressing one of the most promising sources of clean and renewable energy, this book provides a viable solution for meeting the world’s increasing energy demands.
This book covers selected topics and methods for peripheral security, which are gaining attention nowadays. The book discusses the security arrangement and methods for monitoring the inside/outside entry of peripheral areas that need to be secured. It relates to a periphery, often portable device (as well as the methods employed, and systems including such a peripheral device and a host central command device with which the local geographical command device communicates), enabling one or more security operations performed by the peripheral device. It also covers the security scenario of snow-prone areas in a remote location. It also elaborates how we can secure the person and devices in extremely cold conditions and rescue them. This book helps the researchers, academicians, and industry persons working in security areas to protect unauthentic entry in large scale areas that may be defense camps or civilian applications like large-sized bungalows, institutes, and organizations of national importance. The experimental results are in close conformance to the proposed methodologies.
This book at hand is an appropriate addition to the field of fractional calculus applied to control systems. If an engineer or a researcher wishes to delve into fractional-order systems, then this book has many collections of such systems to work upon, and this book also tells the reader about how one can convert an integer-order system into an appropriate fractional-order one through an efficient and simple algorithm. If the reader further wants to explore the controller design for the fractional-order systems, then for them, this book provides a variety of controller design strategies. The use of fractional-order derivatives and integrals in control theory leads to better results than integer-order approaches and hence provides solid motivation for further development of control theory. Fractional-order models are more useful than the integer-order models when accuracy is of paramount importance. Real-time experimental validation of controller design strategies for the fractional-order plants is available. This book is beneficial to the academic institutes for postgraduate and advanced research-level that need a specific textbook on fractional control and its applications in srobotic manipulators. The book is also a valuable teaching and learning resource for undergraduate and postgraduate students.
This book provides a basic understanding of adaptive control and its applications in Flight control. It discusses the designing of an adaptive feedback control system and analyzes this for flight control of linear and nonlinear aircraft models using synthetic jet actuators. It also discusses control methodologies and the application of control techniques which will help practicing flight control and active flow control researchers. It also covers modelling and control designs which will also benefit researchers from the background of fluid mechanics and health management of actuation systems. The unique feature of this book is characterization of synthetic jet actuator nonlinearities over a wide range of angles of attack, an adaptive compensation scheme for such nonlinearities, and a systematic framework for feedback control of aircraft dynamics with synthetic jet actuators.
This book discusses the dynamics of a tail-sitter quadrotor and biplane quadrotor-type hybrid unmanned aerial vehicles (UAVs) and, based on it, various nonlinear controllers design like backstepping control (BSC), ITSMC (Integral Terminal Sliding Mode Control), and hybrid controller (BSC + ITSMC). It discusses single and multiple observer-based control strategies to handle external disturbances like wind gusts and estimate states. It covers the dynamics of slung load with a biplane quadrotor and a control architecture to handle the effect of partial rotor failure with wind gusts acting on it. An anti-swing control to prevent damage to the slung load and a deflecting surface-based total rotor failure compensation strategy to prevent damage to the biplane quadrotor are also discussed in this book. The monograph will be helpful for undergraduate and post-graduate students as well as researchers in their advanced studies.
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