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Solar System Forecast

Solar System Forecast
Author: Kelly Kizer Whitt
Publisher: Arbordale Pub
Total Pages: 32
Release: 2012
Genre: Juvenile Nonfiction
ISBN: 9781607185239

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Describes the weather conditions space travelers might expect throughout the solar system, including on the Sun, on each of the planets, on Saturn's moon Titan, and on the dwarf planet Pluto.


Solar System Forecast

Solar System Forecast
Author: Kelly Kizer Whitt
Publisher: Arbordale Pub
Total Pages: 32
Release: 2012
Genre: Juvenile Nonfiction
ISBN: 9781607185321

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Describes the weather conditions space travelers might expect throughout the solar system, including on the Sun, on each of the planets, on Saturn's moon Titan, and on the dwarf planet Pluto.


Solar Energy Forecasting and Resource Assessment

Solar Energy Forecasting and Resource Assessment
Author: Jan Kleissl
Publisher: Academic Press
Total Pages: 503
Release: 2013-06-25
Genre: Technology & Engineering
ISBN: 012397772X

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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.


Renewable Energy Forecasting

Renewable Energy Forecasting
Author: Georges Kariniotakis
Publisher: Woodhead Publishing
Total Pages: 386
Release: 2017-09-29
Genre: Technology & Engineering
ISBN: 0081005059

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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


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

Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems
Author: Fouzi Harrou
Publisher: BoD – Books on Demand
Total Pages: 212
Release: 2020-04-01
Genre: Technology & Engineering
ISBN: 1838800913

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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.


Ensemble Forecasting Applied to Power Systems

Ensemble Forecasting Applied to Power Systems
Author: Antonio Bracale
Publisher: MDPI
Total Pages: 134
Release: 2020-03-10
Genre: Technology & Engineering
ISBN: 303928312X

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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.


Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
Author: Federico Divina
Publisher: MDPI
Total Pages: 100
Release: 2021-08-30
Genre: Technology & Engineering
ISBN: 3036508627

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The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In recent years, researchers have been working very actively in order to come up with effective and powerful techniques in order to deal with the huge amount of data available. Such approaches can be used in the context of energy production and consumption considering the amount of data produced by all samples and measurements, as well as including many additional features. With them, automated machine learning methods for extracting relevant patterns, high-performance computing, or data visualization are being successfully applied to energy demand forecasting.


Renewable Energy Resource Assessment and Forecasting

Renewable Energy Resource Assessment and Forecasting
Author: George Galanis
Publisher: MDPI
Total Pages: 306
Release: 2020-11-27
Genre: Technology & Engineering
ISBN: 3039430866

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In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.


Ionospheric Prediction and Forecasting

Ionospheric Prediction and Forecasting
Author: Bruno Zolesi
Publisher: Springer Science & Business Media
Total Pages: 244
Release: 2013-09-25
Genre: Science
ISBN: 3642384307

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This book describes how to predict and forecast the state of planet Earth’s ionosphere under quiet and disturbed conditions in terms of dynamical processes in the weakly ionized plasma media of the upper atmosphere and their relation to available modern measurements and modelling techniques. It explains the close relationship between the state of the media and the radio wave propagation conditions via this media. The prediction and forecasting algorithms, methods and models are oriented towards providing a practical approach to ionospherically dependent systems design and engineering. Proper understanding of the ionosphere is of fundamental practical importance because it is an essential part of telecommunication and navigation systems that use the ionosphere to function or would function much better in its nonappearance on the Earth and on any planet with an atmosphere.