Hybrid Advanced Optimization Methods With Evolutionary Computation Techniques In Energy Forecasting
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Author |
: Wei-Chiang Hong |
Publisher |
: MDPI |
Total Pages |
: 251 |
Release |
: 2018-10-19 |
ISBN-10 |
: 9783038972860 |
ISBN-13 |
: 303897286X |
Rating |
: 4/5 (60 Downloads) |
Synopsis Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting by : Wei-Chiang Hong
This book is a printed edition of the Special Issue "Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting" that was published in Energies
Author |
: Wei-Chiang Hong |
Publisher |
: MDPI |
Total Pages |
: 187 |
Release |
: 2018-10-22 |
ISBN-10 |
: 9783038972921 |
ISBN-13 |
: 3038972924 |
Rating |
: 4/5 (21 Downloads) |
Synopsis Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting by : Wei-Chiang Hong
This book is a printed edition of the Special Issue "Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting" that was published in Energies
Author |
: Wei-Chiang Hong |
Publisher |
: MDPI |
Total Pages |
: 251 |
Release |
: 2018-10-19 |
ISBN-10 |
: 9783038972907 |
ISBN-13 |
: 3038972908 |
Rating |
: 4/5 (07 Downloads) |
Synopsis Hybrid Advanced Techniques for Forecasting in Energy Sector by : Wei-Chiang Hong
This book is a printed edition of the Special Issue "Hybrid Advanced Techniques for Forecasting in Energy Sector" that was published in Energies
Author |
: Federico Divina |
Publisher |
: MDPI |
Total Pages |
: 100 |
Release |
: 2021-08-30 |
ISBN-10 |
: 9783036508627 |
ISBN-13 |
: 3036508627 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast by : Federico Divina
The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In recent years, researchers have been working very actively in order to come up with effective and powerful techniques in order to deal with the huge amount of data available. Such approaches can be used in the context of energy production and consumption considering the amount of data produced by all samples and measurements, as well as including many additional features. With them, automated machine learning methods for extracting relevant patterns, high-performance computing, or data visualization are being successfully applied to energy demand forecasting.
Author |
: Radu-Emil Precup |
Publisher |
: Springer |
Total Pages |
: 269 |
Release |
: 2019-02-07 |
ISBN-10 |
: 9789811359958 |
ISBN-13 |
: 9811359954 |
Rating |
: 4/5 (58 Downloads) |
Synopsis Advanced Control and Optimization Paradigms for Wind Energy Systems by : Radu-Emil Precup
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.
Author |
: R. Venkata Rao |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 323 |
Release |
: 2012-01-14 |
ISBN-10 |
: 9781447127482 |
ISBN-13 |
: 144712748X |
Rating |
: 4/5 (82 Downloads) |
Synopsis Mechanical Design Optimization Using Advanced Optimization Techniques by : R. Venkata Rao
Mechanical design includes an optimization process in which designers always consider objectives such as strength, deflection, weight, wear, corrosion, etc. depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective function with a large number of design variables. It is a good practice to apply optimization techniques for individual components or intermediate assemblies than a complete assembly. Analytical or numerical methods for calculating the extreme values of a function may perform well in many practical cases, but may fail in more complex design situations. In real design problems, the number of design parameters can be very large and their influence on the value to be optimized (the goal function) can be very complicated, having nonlinear character. In these complex cases, advanced optimization algorithms offer solutions to the problems, because they find a solution near to the global optimum within reasonable time and computational costs. Mechanical Design Optimization Using Advanced Optimization Techniques presents a comprehensive review on latest research and development trends for design optimization of mechanical elements and devices. Using examples of various mechanical elements and devices, the possibilities for design optimization with advanced optimization techniques are demonstrated. Basic and advanced concepts of traditional and advanced optimization techniques are presented, along with real case studies, results of applications of the proposed techniques, and the best optimization strategies to achieve best performance are highlighted. Furthermore, a novel advanced optimization method named teaching-learning-based optimization (TLBO) is presented in this book and this method shows better performance with less computational effort for the large scale problems. Mechanical Design Optimization Using Advanced Optimization Techniques is intended for designers, practitioners, managers, institutes involved in design related projects, applied research workers, academics, and graduate students in mechanical and industrial engineering and will be useful to the industrial product designers for realizing a product as it presents new models and optimization techniques to make tasks easier, logical, efficient and effective. .
Author |
: Levent Aydin |
Publisher |
: CRC Press |
Total Pages |
: 237 |
Release |
: 2020-04-27 |
ISBN-10 |
: 9781000095852 |
ISBN-13 |
: 1000095851 |
Rating |
: 4/5 (52 Downloads) |
Synopsis Designing Engineering Structures using Stochastic Optimization Methods by : Levent Aydin
Among all aspects of engineering, design is the most important step in developing a new product. A systematic approach to managing design issues can only be accomplished by applying mathematical optimization methods. Furthermore, due to the practical issues in engineering problems, there are limitations in using traditional methods. As such, stochastic optimization methods such as differential evolution, simulated annealing, and genetic algorithms are preferable in finding solutions in design optimization problems. This book reviews mechanical engineering design optimization using stochastic methods. It introduces students and design engineers to practical aspects of complicated mathematical optimization procedures, and outlines steps for wide range of selected engineering design problems. It shows how engineering structures are systematically designed. Many new engineering design applications based on stochastic optimization techniques in automotive, energy, military, naval, manufacturing process and fluids-heat transfer, are described in the book. For each design optimization problem described, background is provided for understanding the solutions. There are very few books on optimization that include engineering applications. They cover limited applications, and that too of well-known design problems of advanced and niche nature. Common problems are hardly addressed. Thus, the subject has remained fairly theoretical. To overcome this, each chapter in this book is contributed by at least one academic and one industrial expert researcher.
Author |
: Mellal, Mohamed Arezki |
Publisher |
: IGI Global |
Total Pages |
: 326 |
Release |
: 2021-12-17 |
ISBN-10 |
: 9781799885634 |
ISBN-13 |
: 1799885631 |
Rating |
: 4/5 (34 Downloads) |
Synopsis Applications of Nature-Inspired Computing in Renewable Energy Systems by : Mellal, Mohamed Arezki
Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.
Author |
: Bin Zhou |
Publisher |
: Frontiers Media SA |
Total Pages |
: 1092 |
Release |
: 2023-04-28 |
ISBN-10 |
: 9782832513255 |
ISBN-13 |
: 2832513255 |
Rating |
: 4/5 (55 Downloads) |
Synopsis Advanced technologies for planning and operation of prosumer energy systems by : Bin Zhou
Author |
: Khalid Raza |
Publisher |
: Springer Nature |
Total Pages |
: 340 |
Release |
: 2022-10-31 |
ISBN-10 |
: 9789811963797 |
ISBN-13 |
: 9811963797 |
Rating |
: 4/5 (97 Downloads) |
Synopsis Nature-Inspired Intelligent Computing Techniques in Bioinformatics by : Khalid Raza
This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.