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Solar Irradiance and Photovoltaic Power Forecasting

2024-02-05 Technology & Engineering
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Release : 2024-02-05
Genre : Technology & Engineering
Kind : eBook
Book Rating : 854/5 ( reviews)

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Book Synopsis Solar Irradiance and Photovoltaic Power Forecasting by : Dazhi Yang

Download or read book Solar Irradiance and Photovoltaic Power Forecasting written by Dazhi Yang. This book was released on 2024-02-05. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting plays an indispensable role in grid integration of solar energy, which is an important pathway toward the grand goal of achieving planetary carbon neutrality. This rather specialized field of solar forecasting constitutes both irradiance and photovoltaic power forecasting. Its dependence on atmospheric sciences and implications for power system operations and planning make the multi-disciplinary nature of solar forecasting immediately obvious. Advances in solar forecasting represent a quiet revolution, as the landscape of solar forecasting research and practice has dramatically advanced as compared to just a decade ago. Solar Irradiance and Photovoltaic Power Forecasting provides the reader with a holistic view of all major aspects of solar forecasting: the philosophy, statistical preliminaries, data and software, base forecasting methods, post-processing techniques, forecast verification tools, irradiance-to-power conversion sequences, and the hierarchical and firm forecasting framework. The book’s scope and subject matter are designed to help anyone entering the field or wishing to stay current in understanding solar forecasting theory and applications. The text provides concrete and honest advice, methodological details and algorithms, and broader perspectives for solar forecasting. Both authors are internationally recognized experts in the field, with notable accomplishments in both academia and industry. Each author has many years of experience serving as editors of top journals in solar energy meteorology. The authors, as forecasters, are concerned not merely with delivering the technical specifics through this book, but more so with the hopes of steering future solar forecasting research in a direction that can truly expand the boundary of forecasting science.

Solar Energy Forecasting and Resource Assessment

2013-06-25 Technology & Engineering
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Release : 2013-06-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 72X/5 ( reviews)

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Book Synopsis Solar Energy Forecasting and Resource Assessment by : Jan Kleissl

Download or read book Solar Energy Forecasting and Resource Assessment written by Jan Kleissl. This book was released on 2013-06-25. Available in PDF, EPUB and Kindle. Book excerpt: Solar Energy Forecasting and Resource Assessment is a vital text for solar energy professionals, addressing a critical gap in the core literature of the field. As major barriers to solar energy implementation, such as materials cost and low conversion efficiency, continue to fall, issues of intermittency and reliability have come to the fore. Scrutiny from solar project developers and their financiers on the accuracy of long-term resource projections and grid operators’ concerns about variable short-term power generation have made the field of solar forecasting and resource assessment pivotally important. This volume provides an authoritative voice on the topic, incorporating contributions from an internationally recognized group of top authors from both industry and academia, focused on providing information from underlying scientific fundamentals to practical applications and emphasizing the latest technological developments driving this discipline forward. The only reference dedicated to forecasting and assessing solar resources enables a complete understanding of the state of the art from the world’s most renowned experts. Demonstrates how to derive reliable data on solar resource availability and variability at specific locations to support accurate prediction of solar plant performance and attendant financial analysis. Provides cutting-edge information on recent advances in solar forecasting through monitoring, satellite and ground remote sensing, and numerical weather prediction.

Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems

2020-04-01 Technology & Engineering
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Release : 2020-04-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 913/5 ( reviews)

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Book Synopsis Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems by : Fouzi Harrou

Download or read book Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems written by Fouzi Harrou. This book was released on 2020-04-01. Available in PDF, EPUB and Kindle. Book excerpt: Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.

Engineering Optimization

2010-07-20 Mathematics
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Release : 2010-07-20
Genre : Mathematics
Kind : eBook
Book Rating : 413/5 ( reviews)

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Book Synopsis Engineering Optimization by : Xin-She Yang

Download or read book Engineering Optimization written by Xin-She Yang. This book was released on 2010-07-20. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications

2013 Solar collectors
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Release : 2013
Genre : Solar collectors
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications by : M. Sengupta

Download or read book Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications written by M. Sengupta. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt:

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