Nonlinear Modeling Of Solar Radiation And Wind Speed Time Series

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Nonlinear Modeling of Solar Radiation and Wind Speed Time Series

Luigi Fortuna,Giuseppe Nunnari,Silvia Nunnari
Nonlinear Modeling of Solar Radiation and Wind Speed Time Series Book PDF

Author : Luigi Fortuna,Giuseppe Nunnari,Silvia Nunnari
Publisher : Springer
Page : 98 pages
File Size : 53,8 Mb
Release : 2016-06-21
Category : Technology & Engineering
ISBN : 9783319387642

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Nonlinear Modeling of Solar Radiation and Wind Speed Time Series by Luigi Fortuna,Giuseppe Nunnari,Silvia Nunnari Pdf

This brief is a clear, concise description of the main techniques of time series analysis —stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.— as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques. The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques. Results are well-illustrated by figures and tables.

Practical Examples of Energy Optimization Models

Samsul Ariffin Abdul Karim,Mohd Faris Abdullah,Ramani Kannan
Practical Examples of Energy Optimization Models Book PDF

Author : Samsul Ariffin Abdul Karim,Mohd Faris Abdullah,Ramani Kannan
Publisher : Springer Nature
Page : 96 pages
File Size : 50,9 Mb
Release : 2020-01-02
Category : Technology & Engineering
ISBN : 9789811521997

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Practical Examples of Energy Optimization Models by Samsul Ariffin Abdul Karim,Mohd Faris Abdullah,Ramani Kannan Pdf

This book highlights state-of-the-art research on renewable energy integration technology and suitable and efficient power generation, discussing smart grids, renewable energy grid integration, prediction control models, and econometric models for predicting the global solar radiation and factors that affect solar radiation, performance evaluation of photovoltaic systems, and improved energy consumption prediction models. It discusses several methods, algorithms, environmental data-based performance analyses, and experimental results to help readers gain a detailed understanding of the pros and cons of technologies in this rapidly growing area. Accordingly, it offers a valuable resource for students and researchers working on renewable energy optimization models.

Renewable Energy Forecasting

Georges Kariniotakis
Renewable Energy Forecasting Book PDF

Author : Georges Kariniotakis
Publisher : Woodhead Publishing
Page : 386 pages
File Size : 49,6 Mb
Release : 2017-09-29
Category : Technology & Engineering
ISBN : 9780081005057

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Renewable Energy Forecasting by Georges Kariniotakis Pdf

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

Deep Learning in Multi-step Prediction of Chaotic Dynamics

Matteo Sangiorgio,Fabio Dercole,Giorgio Guariso
Deep Learning in Multi step Prediction of Chaotic Dynamics Book PDF

Author : Matteo Sangiorgio,Fabio Dercole,Giorgio Guariso
Publisher : Springer Nature
Page : 111 pages
File Size : 55,7 Mb
Release : 2022-02-14
Category : Mathematics
ISBN : 9783030944827

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Deep Learning in Multi-step Prediction of Chaotic Dynamics by Matteo Sangiorgio,Fabio Dercole,Giorgio Guariso Pdf

The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series. Differently from most of the current literature, it implements a multi-step approach, i.e., the forecast of an entire interval of future values. This is relevant for many applications, such as model predictive control, that requires predicting the values for the whole receding horizon. Going progressively from deterministic models with different degrees of complexity and chaoticity to noisy systems and then to real-world cases, the book compares the performances of various neural network architectures (feed-forward and recurrent). It also introduces an innovative and powerful approach for training recurrent structures specific for sequence-to-sequence tasks. The book also presents one of the first attempts in the context of environmental time series forecasting of applying transfer-learning techniques such as domain adaptation.

Time Series Analysis and Applications

Nawaz Mohamudally
Time Series Analysis and Applications Book PDF

Author : Nawaz Mohamudally
Publisher : IntechOpen
Page : 182 pages
File Size : 43,5 Mb
Release : 2018-01-24
Category : Computers
ISBN : 9789535137429

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Time Series Analysis and Applications by Nawaz Mohamudally Pdf

Time Series Analysis (TSA) and Applications offers a dense content of current research and development in the field of data science. The book presents time series from a multidisciplinary approach that covers a wide range of sectors ranging from biostatistics to renewable energy forecasting. Contrary to previous literatures on time, serious readers will discover the potential of TSA in areas other than finance or weather forecasting. The choice of the algorithmic transform for different scenarios, which is a key determinant in the application of TSA, can be understood through the diverse domain applications. Readers looking for deep understanding and practicability of TSA will be delighted. Early career researchers too will appreciate the technicalities and refined mathematical complexities surrounding TSA. Our wish is that this book adds to the body of TSA knowledge and opens up avenues for those who are looking forward to applying TSA in their own context.

Ensemble Forecasting Applied to Power Systems

Antonio Bracale,Pasquale De Falco
Ensemble Forecasting Applied to Power Systems Book PDF

Author : Antonio Bracale,Pasquale De Falco
Publisher : MDPI
Page : 134 pages
File Size : 45,7 Mb
Release : 2020-03-10
Category : Technology & Engineering
ISBN : 9783039283125

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Ensemble Forecasting Applied to Power Systems by Antonio Bracale,Pasquale De Falco Pdf

Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.

Innovations in Bio-inspired Computing and Applications

Ajith Abraham,Pavel Krömer,Václav Snášel
Innovations in Bio inspired Computing and Applications Book PDF

Author : Ajith Abraham,Pavel Krömer,Václav Snášel
Publisher : Springer Science & Business Media
Page : 306 pages
File Size : 42,6 Mb
Release : 2013-08-04
Category : Technology & Engineering
ISBN : 9783319017815

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Innovations in Bio-inspired Computing and Applications by Ajith Abraham,Pavel Krömer,Václav Snášel Pdf

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at IBICA2013, the 4th International Conference on Innovations in Bio-inspired Computing and Applications. The aim of IBICA 2013 was to provide a platform for world research leaders and practitioners, to discuss the full spectrum of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing is currently one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex real life problems. The main driving force of the conference is to further explore the intriguing potential of Bio-inspired Computing. IBICA 2013 was held in Ostrava, Czech Republic and hosted by the VSB - Technical University of Ostrava.

Digital Economy, Business Analytics, and Big Data Analytics Applications

Saad G. Yaseen
Digital Economy Business Analytics and Big Data Analytics Applications Book PDF

Author : Saad G. Yaseen
Publisher : Springer Nature
Page : 723 pages
File Size : 52,5 Mb
Release : 2022-09-26
Category : Computers
ISBN : 9783031052583

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Digital Economy, Business Analytics, and Big Data Analytics Applications by Saad G. Yaseen Pdf

This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

Artificial Intelligence in Renewable Energetic Systems

Mustapha Hatti
Artificial Intelligence in Renewable Energetic Systems Book PDF

Author : Mustapha Hatti
Publisher : Springer
Page : 531 pages
File Size : 41,7 Mb
Release : 2018-03-12
Category : Technology & Engineering
ISBN : 9783319731926

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Artificial Intelligence in Renewable Energetic Systems by Mustapha Hatti Pdf

This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

Operation of Distributed Energy Resources in Smart Distribution Networks

Kazem Zare,Sayyad Nojavan
Operation of Distributed Energy Resources in Smart Distribution Networks Book PDF

Author : Kazem Zare,Sayyad Nojavan
Publisher : Academic Press
Page : 424 pages
File Size : 52,6 Mb
Release : 2018-06-05
Category : Science
ISBN : 9780128148921

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Operation of Distributed Energy Resources in Smart Distribution Networks by Kazem Zare,Sayyad Nojavan Pdf

Operation of Distributed Energy Resources in Smart Distribution Networks defines the barriers and challenges of smart distribution networks, ultimately proposing optimal solutions for addressing them. The book considers their use as an important part of future electrical power systems and their ability to improve the local flexibility and reliability of electrical systems. It carefully defines the concept as a radial network with a cluster of distributed energy generations, various types of loads, and energy storage systems. In addition, the book details how the huge penetration of distributed energy resources and the intermittent nature of renewable generations may cause system problems. Readers will find this to be an important resource that analyzes and introduces the features and problems of smart distribution networks from different aspects. Integrates different types of elements, including electrical vehicles, demand response programs, and various renewable energy sources in distribution networks Proposes optimal operational models for the short-term performance and scheduling of a distribution network Discusses the uncertainties of renewable resources and intermittent load in the decision-making process for distribution networks

Smart Energy Grid Engineering

Hossam Gabbar
Smart Energy Grid Engineering Book PDF

Author : Hossam Gabbar
Publisher : Academic Press
Page : 568 pages
File Size : 51,9 Mb
Release : 2016-10-12
Category : Science
ISBN : 9780128092323

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Smart Energy Grid Engineering by Hossam Gabbar Pdf

Smart Energy Grid Engineering provides in-depth detail on the various important engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. Governments around the world are investing heavily in smart energy grids to ensure optimum energy use and supply, enable better planning for outage responses and recovery, and facilitate the integration of heterogeneous technologies such as renewable energy systems, electrical vehicle networks, and smart homes around the grid. By looking at case studies and best practices that illustrate how to implement smart energy grid infrastructures and analyze the technical details involved in tackling emerging challenges, this valuable reference considers the important engineering aspects of design and implementation, energy generation, utilization and energy conservation, intelligent control and monitoring data analysis security, and asset integrity. Includes detailed support to integrate systems for smart grid infrastructures Features global case studies outlining design components and their integration within the grid Provides examples and best practices from industry that will assist in the migration to smart grids

A Combined Parametric and Nonparametric Approach to Time Series Analysis

Stefan Kriebol
A Combined Parametric and Nonparametric Approach to Time Series Analysis Book PDF

Author : Stefan Kriebol
Publisher : IOS Press
Page : 150 pages
File Size : 55,5 Mb
Release : 1999
Category : Mathematics
ISBN : 1586031201

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A Combined Parametric and Nonparametric Approach to Time Series Analysis by Stefan Kriebol Pdf

The analysis and prediction of natural phenomena is an interesting and challenging task. Time series obtained from the observation of one or more features of a phenomenon are often the only access to the data generating system. Unfortunately, time series analysis is usually done by specialists in the field of the phenomenon with traditional analysis techniques. The application of modern analysis and prediction tools is often avoided due to their complexity or the risk of failure. This issue can be surmounted by an interdisciplinary approach. This work is an example for the possible synergetic effect of interdisciplinary research. In the field of oceanography the coastal upwelling phenomenon is analysed in experimental studies with a numerical model in order to develop a parametric prediction model. Artificial neural networks seem to be a suitable parametric model. However, in the field of computer science traditional artificial neural techniques showed limitations in the analysis and prediction of time series obtained from natural phenomena, particularly with nonlinear and nonstationary time series. Motivated by this limitations a new approach to time series analysis and prediction is presented in this work, the mixture of nonparametric segmented experts (MONSE). The MONSE approach is exploiting the synergetic effect of a combined nonparametric and parametric analysis. It is supposed to be applied to explorative time series analysis and prediction in various fields, i.e. in a context where hardly any kowledge about the time series of concern is available.

Modeling and Control of Greenhouse Crop Growth

Francisco Rodríguez,Manuel Berenguel,José Luis Guzmán,Armando Ramírez-Arias
Modeling and Control of Greenhouse Crop Growth Book PDF

Author : Francisco Rodríguez,Manuel Berenguel,José Luis Guzmán,Armando Ramírez-Arias
Publisher : Springer
Page : 250 pages
File Size : 52,6 Mb
Release : 2014-11-01
Category : Technology & Engineering
ISBN : 9783319111346

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Modeling and Control of Greenhouse Crop Growth by Francisco Rodríguez,Manuel Berenguel,José Luis Guzmán,Armando Ramírez-Arias Pdf

A discussion of challenges related to the modeling and control of greenhouse crop growth, this book presents state-of-the-art answers to those challenges. The authors model the subsystems involved in successful greenhouse control using different techniques and show how the models obtained can be exploited for simulation or control design; they suggest ideas for the development of physical and/or black-box models for this purpose. Strategies for the control of climate- and irrigation-related variables are brought forward. The uses of PID control and feedforward compensators, both widely used in commercial tools, are summarized. The benefits of advanced control techniques—event-based, robust, and predictive control, for example—are used to improve on the performance of those basic methods. A hierarchical control architecture is developed governed by a high-level multiobjective optimization approach rather than traditional constrained optimization and artificial intelligence techniques. Reference trajectories are found for diurnal and nocturnal temperatures (climate-related setpoints) and electrical conductivity (fertirrigation-related setpoints). The objectives are to maximize profit, fruit quality, and water-use efficiency, these being encouraged by current international rules. Illustrative practical results selected from those obtained in an industrial greenhouse during the last eight years are shown and described. The text of the book is complemented by the use of illustrations, tables and real examples which are helpful in understanding the material. Modeling and Control of Greenhouse Crop Growth will be of interest to industrial engineers, academic researchers and graduates from agricultural, chemical, and process-control backgrounds.

Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices

Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Bharti, Santosh Kumar,Patel, Samir
Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices Book PDF

Author : Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Bharti, Santosh Kumar,Patel, Samir
Publisher : IGI Global
Page : 324 pages
File Size : 41,9 Mb
Release : 2023-06-27
Category : Business & Economics
ISBN : 9781668485187

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Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices by Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Bharti, Santosh Kumar,Patel, Samir Pdf

There are various factors that influence the quality and quantity of agricultural products; among them, weather conditions play the most significant role in agriculture. More reliable weather forecasting enables farmers to make important planting and harvesting decisions that can enhance agricultural yield. Thus, there is a dire need to combine all available modern technologies and agricultural science for economic and environmentally sustainable crop production. In this direction, artificial intelligence (AI) serves as a budding solution in the domain of agriculture practices. Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices discusses various tools and technologies that can be used in smart farming and agriculture practice and explores the role of different emerging technologies like the internet of things, big data, machine learning, deep learning, and AI from agricultural prospects. Covering key topics such as farming, pests, soil, and weeds, this premier reference source is ideal for environmentalists, farmers, agriculturalists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Pattern Recognition

Andrzej Zak
Pattern Recognition Book PDF

Author : Andrzej Zak
Publisher : BoD – Books on Demand
Page : 120 pages
File Size : 49,8 Mb
Release : 2019-07-31
Category : Computers
ISBN : 9781789854992

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Pattern Recognition by Andrzej Zak Pdf

Pattern recognition, despite its relatively short history, has already found practical application in many areas of human activity. Systems of pattern recognition usually support people in performing tasks related to ensuring security, including access to premises and devices, detection of unusual changes (e.g. in medicine, cartography, geology), diagnosing technical conditions of devices, and many others. Nevertheless, pattern recognition is probably the most developing area because of the great demand for such solutions in the different areas of our lives. In this book we have collected the experience of scientists from different parts of the world who have researched diverse areas connected directly or indirectly with pattern recognition. We hope that this book will be a treasure trove of knowledge and inspiration for further research in the field of pattern recognition.