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Prediction Of Weather Parameters By Harmonic Analysis And Artificial Neural Networks
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Book Synopsis Prediction of Weather Parameters by Harmonic Analysis and Artificial Neural Networks by : Manjusha Kulshrestha
Download or read book Prediction of Weather Parameters by Harmonic Analysis and Artificial Neural Networks written by Manjusha Kulshrestha and published by Booktango. This book was released on 2013-10-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, addresses the problem of prediction of weather Parameters like: i) Prediction of annual rainfall. ii) Prediction of return period of occurred highest one day maximum rainfall. iii) Prediction of weekly rainfall probabilities. iv) Prediction of Hourly air temperatures for one day. v) Prediction of soil temperatures at 5- 20 cm. depths. Double variable Fourier Series approach is first time applied to the problems of prediction in Meteorology. The main objective of this book is to predict the weather elements especially, annual rainfall and weekly rainfall probabilities, soil temperature (of Anand station of Gujarat, India) by using appropriate computational methods.The present book consists of six chapters. Chapter 2 gives necessary preliminaries on Weather, Artificial Neural Networks, the required Mathematical Analysis and Fourier series etc.A brief description of the chapters 3 to 6 is as follow: Chapter 3: Prediction of Annual Rainfall. Chapter 3 deals with the prediction of Annual Rainfall by using the following two methods: i) Artificial Neural Networks, and Double Variable Fourier Series. Chapter 4: Prediction of Rainfall Probabilities. In this chapter, we investigate following two problems: i) Return Period Analysis (RTPA) by Gumbel (13) and Fisher Tippett Type-II Distribution and ANN ii) Rainfall Probability Analysis (RPA) by Gamma Distribution ii) Model (GDM) and ANN. Chapter 5:- Prediction of Air temperatures. Chapter five deals with prediction of hourly air temperatures. The following two different methods are employed. i) Parton’s Mathematical Model. ii) Artificial Neural Network. Chapter 6.:- Prediction of weekly Soil temperatures. Chapter 6 deals with prediction of weekly soil temperatures at different depths by using following two different methods: i) Harmonic Analysis (HA) ii) Artificial Neural Networks (ANN).
Book Synopsis Food and Water Security by : U. Aswathanarayana
Download or read book Food and Water Security written by U. Aswathanarayana and published by CRC Press. This book was released on 2007-10-25 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with ways and means of managing food and water security in various agroclimatic environments through the integration of R & D, training, people participation, agronomic practices, economic instruments, and administrative policies. It includes contributions by global experts in the field, who elaborate on the governance of f
Book Synopsis Pattern Recognition by : Fred A. Hamprecht
Download or read book Pattern Recognition written by Fred A. Hamprecht and published by Springer. This book was released on 2007-09-22 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 29th Symposium of the German Association for Pattern Recognition, DAGM 2007. It covers image filtering, restoration and segmentation, shape analysis and representation, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, motion analysis and tracking, stereo and structure from motion, as well as 3D view registration and surface modeling.
Book Synopsis Smart Technologies, Systems and Applications by : Fabián R. Narváez
Download or read book Smart Technologies, Systems and Applications written by Fabián R. Narváez and published by Springer Nature. This book was released on 2023-05-20 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 3rd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2022, held in Cuenca, Ecuador, in November 16–18, 2022. The 37 full papers included in this book were carefully reviewed and selected from 121 submissions. They were organized in topical sections as follows: Smart Technologies, Smart Systems, Smart Trends and Applications.
Book Synopsis Numerical Weather Prediction and Data Assimilation by : Petros Katsafados
Download or read book Numerical Weather Prediction and Data Assimilation written by Petros Katsafados and published by John Wiley & Sons. This book was released on 2020-07-16 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has as main aim to be an introductory textbook of applied knowledge in Numerical Weather Prediction (NWP), which is a method of weather forecasting that employs: A set of equations that describe the flow of fluids translated into computer code, combined with parameterizations of other processes, applied on a specific domain and integrated in the basis of initial and domain boundary conditions. Current weather observations serve as input to the numerical computer models through a process called data assimilation to produce atmospheric properties in the future (e.g. temperature, precipitation, and a lot of other meteorological parameters). Various case studies will be also presented and analyzed through this book.
Book Synopsis Predictability of Weather and Climate by : Tim Palmer
Download or read book Predictability of Weather and Climate written by Tim Palmer and published by Cambridge University Press. This book was released on 2006-07-27 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: With contributions by leading experts, including an unpublished paper by Ed Lorenz, this book, first published in 2006, covers many topics in weather and climate predictability. It will interest those in the fields of environmental science and weather and climate forecasting, from graduate students to researchers, by examining theoretical and practical aspects of predictability.
Book Synopsis An Introduction to Numerical Weather Prediction Techniques by : T. N. Krishnamurti
Download or read book An Introduction to Numerical Weather Prediction Techniques written by T. N. Krishnamurti and published by CRC Press. This book was released on 2018-05-11 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Numerical Weather Prediction Techniques is unique in the meteorological field as it presents for the first time theories and software of complex dynamical and physical processes required for numerical modeling. It was first prepared as a manual for the training of the World Meteorological Organization's programs at a similar level. This new book updates these exercises and also includes the latest data sets. This book covers important aspects of numerical weather prediction techniques required at an introductory level. These techniques, ranging from simple one-dimensional space derivative to complex numerical models, are first described in theory and for most cases supported by fully tested computational software. The text discusses the fundamental physical parameterizations needed in numerical weather models, such as cumulus convection, radiative transfers, and surface energy fluxes calculations. The book gives the user all the necessary elements to build a numerical model. An Introduction to Numerical Weather Prediction Techniques is rich in illustrations, especially tables showing outputs from each individual algorithm presented. Selected figures using actual meteorological data are also used. This book is primarily intended for senior-level undergraduates and first-year graduate students in meteorology. It is also excellent for individual scientists who wish to use the book for self-study. Scientists dealing with geophysical data analysis or predictive models will find this book filled with useful techniques and data-processing algorithms.
Book Synopsis Numerical Methods in Weather Prediction by : G Marchuk
Download or read book Numerical Methods in Weather Prediction written by G Marchuk and published by Elsevier. This book was released on 2012-12-02 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Methods in Weather Prediction focuses on the numerical methods for solving problems of weather prediction and explains the aspect of the general circulation of the atmosphere. This book explores the development in the science of meteorology, which provides investigators with improved means of studying physical processes by mathematical stimulation. Organized into eight chapters, this book starts with an overview of the significant physical factors that are instrumental in enriching the theoretical models of weather prediction. This text then examines the system of hydrodynamic equations and the equation of heat transfer related to large-scale atmospheric processes. Other chapters consider the quasigeostrophic approximation model, which is the basis for concepts of the dynamics of atmospheric motions and instrumental in establishing the basic features and laws of evolution of meteorological variables as applied to large-scale processes. The final chapter deals with the adjustment of the humidity field. This book is a valuable resource for meteorologists.
Book Synopsis Comprehensive Energy Systems by : Ibrahim Dincer
Download or read book Comprehensive Energy Systems written by Ibrahim Dincer and published by Elsevier. This book was released on 2018-02-07 with total page 5543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Energy Systems, Seven Volume Set provides a unified source of information covering the entire spectrum of energy, one of the most significant issues humanity has to face. This comprehensive book describes traditional and novel energy systems, from single generation to multi-generation, also covering theory and applications. In addition, it also presents high-level coverage on energy policies, strategies, environmental impacts and sustainable development. No other published work covers such breadth of topics in similar depth. High-level sections include Energy Fundamentals, Energy Materials, Energy Production, Energy Conversion, and Energy Management. Offers the most comprehensive resource available on the topic of energy systems Presents an authoritative resource authored and edited by leading experts in the field Consolidates information currently scattered in publications from different research fields (engineering as well as physics, chemistry, environmental sciences and economics), thus ensuring a common standard and language
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Book Synopsis Optimal Design and Retrofit of Energy Efficient Buildings, Communities, and Urban Centers by : Moncef Krarti
Download or read book Optimal Design and Retrofit of Energy Efficient Buildings, Communities, and Urban Centers written by Moncef Krarti and published by Butterworth-Heinemann. This book was released on 2018-03-27 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Design and Retrofit of Energy Efficient Buildings, Communities, and Urban Centers presents current techniques and technologies for energy efficiency in buildings. Cases introduce and demonstrate applications in both the design of new buildings and retrofit of existing structures. The book begins with an introduction that includes energy consumption statistics, building energy efficiency codes, and standards and labels from around the world. It then highlights the need for integrated and comprehensive energy analysis approaches. Subsequent sections present an overview of advanced energy efficiency technologies for buildings, including dynamic insulation materials, phase change materials, LED lighting and daylight controls, Life Cycle Analysis, and more. This book provides researchers and professionals with a coherent set of tools and techniques for enhancing energy efficiency in new and existing buildings. The case studies presented help practitioners implement the techniques and technologies in their own projects. Introduces a holistic analysis approach to energy efficiency for buildings using the concept of energy productivity Provides coverage of individual buildings, communities and urban centers Includes both the design of new buildings and retrofitting of existing structures to improve energy efficiency Describes state-of-the-art energy efficiency technologies Presents several cases studies and examples that illustrate the analysis techniques and impact of energy efficiency technologies and controls
Book Synopsis Chemical Modelling by : Michael Springborg
Download or read book Chemical Modelling written by Michael Springborg and published by Royal Society of Chemistry. This book was released on 2010-10-06 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemical Modelling: Applications and Theory comprises critical literature reviews of all aspects of molecular modelling. Molecular modelling in this context refers to modelliing the structure, properties and reactions of atoms, molecules and materials. Each chapter provides a selective review of recent literature, incorporating sufficient historical perspective for the non-specialist to gain an understanding. With chemical modelling covering such a wide range of subjects, this Specialist Periodical Report serves as the first port of call to any chemist, biochemist, materials scientist or molecular physicist needing to acquaint themselves with major developments in the area.
Book Synopsis Extreme Weather Events Induced Coastal Environment Changes under Multiple Anthropogenic Impacts by : Dehai Song
Download or read book Extreme Weather Events Induced Coastal Environment Changes under Multiple Anthropogenic Impacts written by Dehai Song and published by Frontiers Media SA. This book was released on 2023-06-07 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Soft Computing Applications by : Valentina Emilia Balas
Download or read book Soft Computing Applications written by Valentina Emilia Balas and published by Springer Nature. This book was released on 2020-08-14 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Intelligent Energy Demand Forecasting by : Wei-Chiang Hong
Download or read book Intelligent Energy Demand Forecasting written by Wei-Chiang Hong and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.
Book Synopsis Computer Safety, Reliability, and Security by : Barbara Gallina
Download or read book Computer Safety, Reliability, and Security written by Barbara Gallina and published by Springer. This book was released on 2018-09-03 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of five workshops co-located with SAFECOMP 2018, the 37th International Conference on Computer Safety, Reliability, and Security, held in Västerås, Sweden, in September 2018. The 28 revised full papers and 21 short papers presented together with 5 introductory papers to each workshop were carefully reviewed and selected from 73 submissions. This year's workshops are: ASSURE 2018 – Assurance Cases for Software-Intensive Systems; DECSoS 2018 – ERCIM/EWICS/ARTEMIS Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems; SASSUR 2018 – Next Generation of System Assurance Approaches for Safety-Critical Systems; STRIVE 2018 – Safety, securiTy, and pRivacy In automotiVe systEms; and WAISE 2018 – Artificial Intelligence Safety Engineering. The chapter '“Boxing Clever”: Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift' is available open access under an Open Government License via link.springer.com.
Book Synopsis Recurrent Neural Networks for Short-Term Load Forecasting by : Filippo Maria Bianchi
Download or read book Recurrent Neural Networks for Short-Term Load Forecasting written by Filippo Maria Bianchi and published by Springer. This book was released on 2017-11-09 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system. Significant research has thus been devoted to the design and development of methodologies for short term load forecasting over the past decades. A class of mathematical models, called Recurrent Neural Networks, are nowadays gaining renewed interest among researchers and they are replacing many practical implementations of the forecasting systems, previously based on static methods. Despite the undeniable expressive power of these architectures, their recurrent nature complicates their understanding and poses challenges in the training procedures. Recently, new important families of recurrent architectures have emerged and their applicability in the context of load forecasting has not been investigated completely yet. This work performs a comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks. The authors test the reviewed models first on controlled synthetic tasks and then on different real datasets, covering important practical cases of study. The text also provides a general overview of the most important architectures and defines guidelines for configuring the recurrent networks to predict real-valued time series.
