Analytics And Optimization For Renewable Energy Integration
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Author | : Ning Zhang |
Publisher | : CRC Press |
Total Pages | : 372 |
Release | : 2019-02-21 |
Genre | : Technology & Engineering |
ISBN | : 042984770X |
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.
Author | : Ning Zhang |
Publisher | : CRC Press |
Total Pages | : 317 |
Release | : 2019-02-21 |
Genre | : Technology & Engineering |
ISBN | : 0429847696 |
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.
Author | : Juan M. Morales |
Publisher | : Springer Science & Business Media |
Total Pages | : 434 |
Release | : 2013-12-03 |
Genre | : Business & Economics |
ISBN | : 1461494117 |
This addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar-based generation units. As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by non-stochastic units and other system agents is needed if supply security and quality are to be maintained. Within the context above, this book provides up-to-date analytical tools to address challenging operational problems such as: • The modeling and forecasting of stochastic renewable power production. • The characterization of the impact of renewable production on market outcomes. • The clearing of electricity markets with high penetration of stochastic renewable units. • The development of mechanisms to counteract the variability and unpredictability of stochastic renewable units so that supply security is not at risk. • The trading of the electric energy produced by stochastic renewable producers. • The association of a number of electricity production facilities, stochastic and others, to increase their competitive edge in the electricity market. • The development of procedures to enable demand response and to facilitate the integration of stochastic renewable units. This book is written in a modular and tutorial manner and includes many illustrative examples to facilitate its comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, applied mathematics and economics. Practitioners in the electric energy sector will benefit as well from the concepts and techniques explained in this book.
Author | : Wei Lee Woon |
Publisher | : Springer |
Total Pages | : 175 |
Release | : 2018-11-16 |
Genre | : Computers |
ISBN | : 3030043037 |
This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018. The 9 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response, and many others.
Author | : Wei Lee Woon |
Publisher | : Springer |
Total Pages | : 159 |
Release | : 2014-11-20 |
Genre | : Computers |
ISBN | : 3319132903 |
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.
Author | : Wei Lee Woon |
Publisher | : Springer |
Total Pages | : 142 |
Release | : 2017-11-24 |
Genre | : Computers |
ISBN | : 3319716433 |
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.
Author | : Lawrence E. Jones |
Publisher | : Academic Press |
Total Pages | : 529 |
Release | : 2014-06-12 |
Genre | : Business & Economics |
ISBN | : 0124081223 |
Renewable Energy Integration is a ground-breaking new resource - the first to offer a distilled examination of the intricacies of integrating renewables into the power grid and electricity markets. It offers informed perspectives from internationally renowned experts on the challenges to be met and solutions based on demonstrated best practices developed by operators around the world. The book's focus on practical implementation of strategies provides real-world context for theoretical underpinnings and the development of supporting policy frameworks. The book considers a myriad of wind, solar, wave and tidal integration issues, thus ensuring that grid operators with low or high penetration of renewable generation can leverage the victories achieved by their peers. Renewable Energy Integration highlights, carefully explains, and illustrates the benefits of advanced technologies and systems for coping with variability, uncertainty, and flexibility. - Lays out the key issues around the integration of renewables into power grids and markets, from the intricacies of operational and planning considerations, to supporting regulatory and policy frameworks - Provides global case studies that highlight the challenges of renewables integration and present field-tested solutions - Illustrates enabling and disruptive technologies to support the management of variability, uncertainty and flexibility
Author | : Pandey, Jay Kumar |
Publisher | : IGI Global |
Total Pages | : 506 |
Release | : 2024-10-16 |
Genre | : Computers |
ISBN | : |
As sustainable energy becomes the future, integrating solar power into existing systems presents critical challenges. Intelligent solutions are required to optimize energy production while maintaining transparency, reliability, and trust in decision-making processes. The growing complexity of these systems calls for advanced technologies that can ensure efficiency while addressing the unique demands of renewable energy sources. Explainable Artificial Intelligence and Solar Energy Integration explores how Explainable AI (XAI) enhances transparency in AI-driven solutions for solar energy integration. By showcasing XAI's role in improving energy efficiency and sustainability, the book bridges the gap between AI potential and real-world solar energy applications. It serves as a comprehensive resource for researchers, engineers, policymakers, and students, offering both technical insights and practical case studies.
Author | : Taha, Luay |
Publisher | : IGI Global |
Total Pages | : 326 |
Release | : 2024-06-24 |
Genre | : Technology & Engineering |
ISBN | : 1668492164 |
In the industry of transportation, the demand for sustainable energy solutions and intelligent traffic management has reached a critical juncture. One of the key challenges faced is the efficient utilization of roadways to generate power and support the infrastructure of smart highways. Road piezoelectric energy harvesting (RPEH) is a concept that has sparked widespread interest in both industry and academia. The book, titled Principles and Applications in Speed Sensing and Energy Harvesting for Smart Roads, unravels the intricacies of RPEH and presents a visionary solution to power traffic ancillary facilities and wireless sensor devices on highways. Within its pages lies a transformative proposal harnessing energy from piezoelectric stacks to not only address the power needs of these critical components but also to enable intelligent vehicle speed sensing. This book is for academic scholars and practitioners alike, navigating the intricate landscape of smart highways. Focused on the latest energy harvesting technologies and vehicle speed sensing, it extends an invitation to delve into communication with smart road displays. Tailored for diverse engineering disciplineselectrical, computer, mechanical, and civilthe book contains cutting-edge research in the domain. Aspiring to be a one-stop source for up-to-date information, it guides researchers, students, and industry professionals through state-of-the-art technologies, fostering a deeper understanding of smart highway systems.
Author | : Veena Grover |
Publisher | : CRC Press |
Total Pages | : 273 |
Release | : 2024-12-19 |
Genre | : Computers |
ISBN | : 1040159893 |
This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems. Features: • Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries. • Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions. • Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems. • Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field. This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities.