Download or read book Spatio Temporal Data Analytics for Wind Energy Integration written by Lei Yang and published by Springer. This book was released on 2014-11-14 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable energy generation into bulk power grids. The operational challenges of wind, and its variability are carefully examined. A spatio-temporal analysis approach enables the authors to develop Markov-chain-based short-term forecasts of wind farm power generation. To deal with the wind ramp dynamics, a support vector machine enhanced Markov model is introduced. The stochastic optimization of economic dispatch (ED) and interruptible load management are investigated as well. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration. Advanced-level students studying electrical, computer and energy engineering should also find the content useful.
Download or read book Data Science for Wind Energy written by Yu Ding and published by CRC Press. This book was released on 2020-12-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author's book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights
Download or read book Spatiotemporal Data Analytics and Modeling written by John A and published by Springer Nature. This book was released on with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Integrated Spatial and Energy Planning written by Gernot Stoeglehner and published by Springer. This book was released on 2016-04-02 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on spatial planning – an important determinant of energy saving and renewable energy supply. Revealing the key driving forces for spatial development supporting the shift towards energy efficiency and renewable energy supplies, it shows the importance of integrated spatial and energy planning approaches for a timely and sustainable change of energy systems, thus supporting policies of climate protection. As operating within the context of renewable energy sources is becoming a major policy issue at the international, European and national level, spatial dimensions of renewable energy systems as well as challenges, barriers and opportunities in different spatial contexts become more important. This book analyses not only the fundamental system interrelations between resources, technologies and consumption patterns with respect to energy, but also the links to the spatial context, and provides guidelines for researchers as well as practitioners in this new, emerging field. It presents innovative analytical tools to solve real-world problems and discusses the most important fields of action in integrated spatial and energy planning including planning contents, planning visions and principles as well as planning process design and planning methodology.
Download or read book Data Analytics for Renewable Energy Integration written by Wei Lee Woon and published by Springer. This book was released on 2014-11-20 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.
Download or read book Analytics and Optimization for Renewable Energy Integration written by Ning Zhang and published by CRC Press. This book was released on 2019-02-21 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
Download or read book Large Scale Renewable Power Generation written by Jahangir Hossain and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the issues of integrating large-scale renewable power generation into existing grids. The issues covered in this book include different types of renewable power generation along with their transmission and distribution, storage and protection. It also contains the development of medium voltage converters for step-up-transformer-less direct grid integration of renewable generation units, grid codes and resiliency analysis for large-scale renewable power generation, active power and frequency control and HVDC transmission. The emerging SMES technology for controlling and integrating large-scale renewable power systems is also discussed. Since the protection issues with large-scale distributed renewable power systems are different compared to the existing protection system for one way power flow, this book includes a new protection technique for renewable generators along with the inclusion of current status of smart grid. This book is a good reference for the researchers who are working the area of renewable power generation and smart grids.
Download or read book Proceedings of 2020 International Top Level Forum on Engineering Science and Technology Development Strategy and The 5th PURPLE MOUNTAIN FORUM PMF2020 written by Yusheng Xue and published by Springer Nature. This book was released on 2021-01-23 with total page 1022 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the 2020 International Top-Level Forum on Engineering Science and Technology Development Strategy -- the 5th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control(PMF2020), held in Nanjing, China, on August 15-16, 2020. Hot topics and cutting edge technologies are included: - Advanced Power Transmission Technology - AC-DC Hybrid Power Grid Technology - eIoT Technology and Application - Operation, Protection and Control of Power Systems Supplied with High Penetration of Renewable Energy Sources - Active Distribution Network Technology - Smart Power Consumption and Energy-saving Technology - New Technology on Substation Automation - Clean Energy Technology - Energy Storage Technology and Application - Key Technology and Application of Integrated Energy - Application of AI, Block Chain, Big Data and Other New Technologies in Energy Industry - Application of New Information and Communication Technology in Energy Industry - Application of Technical Standard System and Related Research in Energy Industry The papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in these areas, which makes the book a valuable reference for researchers, engineers, and university students.
Download or read book Computational Sustainability written by Jörg Lässig and published by Springer. This book was released on 2016-04-20 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Neural Information Processing written by Mohammad Tanveer and published by Springer Nature. This book was released on 2023-04-13 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
Download or read book Sustainable Interdependent Networks written by M. Hadi Amini and published by Springer. This book was released on 2018-02-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theory and application of interdependent networks. The contributors consider the influential networks including power and energy networks, transportation networks, and social networks. The first part of the book provides the next generation sustainability framework as well as a comprehensive introduction of smart cities with special emphasis on energy, communication, data analytics and transportation. The second part offers solutions to performance and security challenges of developing interdependent networks in terms of networked control systems, scalable computation platforms, and dynamic social networks. The third part examines the role of electric vehicles in the future of sustainable interdependent networks. The fourth and last part of this volume addresses the promises of control and management techniques for the future power grids.
Download or read book Advances in Spatio Temporal Analysis written by Xinming Tang and published by CRC Press. This book was released on 2007-08-23 with total page 1998 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Information Systems (TGIS) have been developing methods of incorporating time into geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining. Advances in Spatio-Temporal Analysis contributes to the field of spatio-temporal analysis, presenting innovative ideas and examples that reflect current progress and achievements.
Download or read book Advanced Data Analytics for Power Systems written by Ali Tajer and published by Cambridge University Press. This book was released on 2021-04-08 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.
Download or read book Advances in Artificial Intelligence Application in Data Analysis and Control of Smart Grid written by Xin Ning and published by Frontiers Media SA. This book was released on 2023-11-23 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart grid (SG) is considered a form of intelligent system that allows the electric grid to perform its functions efficiently. The SG is a network that allows for the flow of electrical energy and data, where the data is used to make intelligent decisions in the operation of the electric grid. Artificial intelligence (AI) techniques, such as expert system (ES), Machine Learning (ML), and deep Learning (DL) have brought an advancing frontier in power electronics and power engineering with their powerful data processing capabilities. The SG relies on the flow of data to make its intelligent control; therefore, AI technology is a perfect fit for the SG. The application of AI technology in the SG has the potential to improve the intelligence of the SG. This research topic is focused on ways of improving the data analysis and control of SG by leveraging technologies. Manuscripts with the progress made in solving a range of miscellaneous and critical problems in SG by leveraging AI methods such as ES, ML, and DL methods are welcome. Reviews and original research that describe the latest developments in this field are considered for publication in this research topic. The scope of this Research Topic will include the following themes, but are not limited to: 1. Data-driven and artificial intelligence approaches to enhancing flexibility and resilience of SG. 2. Expert system, Machine Learning and Deep Learning, reinforcement learning and transfer learning for applications in SG. 3. AI for development in ensuring high reliability and stability of electric power system with high penetration of renewable energy. 4. AI for studies in operation protection, integrated planning, and control of SG systems. 5. AI for development in diagnostics and diagnostics for SG. 6. Health monitoring of a modern wind generation system using an adaptive neuro-fuzzy system. 7. Space vector fault pattern identification of a smart grid subsystem by neural mapping. 8. Control techniques, mathematical programming methods, optimization techniques and metaheuristics applied in SG. 9. AI and optimization techniques for green energy and carbon footprint. 10. Novel applications of AI-based smart grids in smart cities, smart transportation, smart healthcare, and smart manufacturing.
Download or read book Integration of Large Scale Wind Energy with Electrical Power Systems in China written by Zongxiang Lu and published by John Wiley & Sons. This book was released on 2018-07-18 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth examination of large scale wind projects and electricity production in China Presents the challenges of electrical power system planning, design, operation and control carried out by large scale wind power, from the Chinese perspective Focuses on the integration issue of large scale wind power to the bulk power system, probing the interaction between wind power and bulk power systems Wind power development is a burgeoning area of study in developing countries, with much interest in offshore wind farms and several big projects under development English translation of the Chinese language original which won the "Fourth China Outstanding Publication Award nomination" in March 2013
Download or read book Integrated Modelling of Ecosystem Services and Land Use Change written by Youjia Liang and published by Springer Nature. This book was released on 2019-10-17 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents essential case studies on the integrated modelling of ecosystem services and land-use change in the field of landscape ecology. The case studies were mainly conducted in the Zhangye oasis of the Hexi corridor and the upper reaches of the Heihe river basin, including Loess plateau (for wind power) and the inland waterways of the Yangtze River (for the regulation of extreme events). The book puts forward an integrated modelling method, including human activities, natural processes, land-use change, and ecosystem management, and explores multiple scenarios based on the interests of local managers and their implications for ecosystem services. As the book demonstrates, the integrated modelling method for ecosystem services and land-use change can serve as a valuable tool for gauging the impact of various development scenarios in this study area, and in other regions with similar characteristics. In addition, numerous charts and diagrams are included in each chapter, facilitating the simulation and assessment of specific land-use change impacts on ecosystem services in various study areas.
Download or read book Integration of Renewable Energy Sources with Smart Grid written by M. Kathiresh and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTEGRATION OF RENEWABLE ENERGY SOURCES WITH SMART GRID Provides comprehensive coverage of renewable energy and its integration with smart grid technologies. This book starts with an overview of renewable energy technologies, smart grid technologies, and energy storage systems and covers the details of renewable energy integration with smart grid and the corresponding controls. It also provides an enhanced perspective on the power scenario in developing countries. The requirement of the integration of smart grid along with the energy storage systems is deeply discussed to acknowledge the importance of sustainable development of a smart city. The methodologies are made quite possible with highly efficient power convertor topologies and intelligent control schemes. These control schemes are capable of providing better control with the help of machine intelligence techniques and artificial intelligence. The book also addresses modern power convertor topologies and the corresponding control schemes for renewable energy integration with smart grid. The design and analysis of power converters that are used for the grid integration of solar PV along with simulation and experimental results are illustrated. The protection aspects of the microgrid with power electronic configurations for wind energy systems are elucidated. The book also discusses the challenges and mitigation measure in renewable energy integration with smart grid. Audience The core audience is hardware and software engineers working on renewable energy integration related projects, microgrids, smart grids and computing algorithms for converter and inverter circuits. Researchers and students in electrical, electronics and computer engineering will also benefit reading the book.