Wind Power Forecasting
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Author |
: Georges Kariniotakis |
Publisher |
: Woodhead Publishing |
Total Pages |
: 388 |
Release |
: 2017-09-29 |
ISBN-10 |
: 9780081005057 |
ISBN-13 |
: 0081005059 |
Rating |
: 4/5 (57 Downloads) |
Synopsis Renewable Energy Forecasting by : Georges Kariniotakis
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
Author |
: Melih Kurt |
Publisher |
: kassel university press GmbH |
Total Pages |
: 200 |
Release |
: 2017-01-01 |
ISBN-10 |
: 9783737603461 |
ISBN-13 |
: 3737603464 |
Rating |
: 4/5 (61 Downloads) |
Synopsis Development of an Offshore Specific Wind Power Forecasting System by : Melih Kurt
This study explains the data preparation processes, plausibility checking of meteorological parameters, correction of met-mast wind speed, and also the determination of the nominal power of a wind farm using met-mast measurements. The wind speed correction of met-mast FINO1 is evaluated from the perspective of power produced by alpha ventus by using uncorrected and corrected measurements from this met-mast. Afterwards this data is used for the determination of nominal power for alpha ventus.
Author |
: André Gensler |
Publisher |
: kassel university press GmbH |
Total Pages |
: 216 |
Release |
: 2019-01-16 |
ISBN-10 |
: 9783737606363 |
ISBN-13 |
: 3737606366 |
Rating |
: 4/5 (63 Downloads) |
Synopsis Wind Power Ensemble Forecasting by : André Gensler
This thesis describes performance measures and ensemble architectures for deterministic and probabilistic forecasts using the application example of wind power forecasting and proposes a novel scheme for the situation-dependent aggregation of forecasting models. For performance measures, error scores for deterministic as well as probabilistic forecasts are compared, and their characteristics are shown in detail. For the evaluation of deterministic forecasts, a categorization by basic error measure and normalization technique is introduced that simplifies the process of choosing an appropriate error measure for certain forecasting tasks. Furthermore, a scheme for the common evaluation of different forms of probabilistic forecasts is proposed. Based on the analysis of the error scores, a novel hierarchical aggregation technique for both deterministic and probabilistic forecasting models is proposed that dynamically weights individual forecasts using multiple weighting factors such as weather situation and lead time dependent weighting. In the experimental evaluation it is shown that the forecasting quality of the proposed technique is able to outperform other state of the art forecasting models and ensembles.
Author |
: Ümit Cali |
Publisher |
: kassel university press GmbH |
Total Pages |
: 174 |
Release |
: 2011 |
ISBN-10 |
: 9783862190317 |
ISBN-13 |
: 3862190315 |
Rating |
: 4/5 (17 Downloads) |
Synopsis Grid and Market Integration of Large-Scale Wind Farms Using Advanced Wind Power Forecasting: Technical and Energy Economic Aspects by : Ümit Cali
Author |
: Abdo Abou Jaoude |
Publisher |
: BoD – Books on Demand |
Total Pages |
: 156 |
Release |
: 2021-01-27 |
ISBN-10 |
: 9781838808259 |
ISBN-13 |
: 1838808256 |
Rating |
: 4/5 (59 Downloads) |
Synopsis Forecasting in Mathematics by : Abdo Abou Jaoude
Mathematical probability and statistics are an attractive, thriving, and respectable part of mathematics. Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.
Author |
: Ajay Kumar Vyas |
Publisher |
: John Wiley & Sons |
Total Pages |
: 276 |
Release |
: 2022-03-02 |
ISBN-10 |
: 9781119761693 |
ISBN-13 |
: 1119761697 |
Rating |
: 4/5 (93 Downloads) |
Synopsis Artificial Intelligence for Renewable Energy Systems by : Ajay Kumar Vyas
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
Author |
: Matthias Lange |
Publisher |
: Springer |
Total Pages |
: 0 |
Release |
: 2010-02-12 |
ISBN-10 |
: 3642065082 |
ISBN-13 |
: 9783642065088 |
Rating |
: 4/5 (82 Downloads) |
Synopsis Physical Approach to Short-Term Wind Power Prediction by : Matthias Lange
The effective integration of wind energy into the overall electricity supply is a technical and economical challenge because the availability of wind power is determined by fluctuating meteorological conditions. This book offers an approach to the ultimate goal of the short-term prediction of the power output of winds farms. Starting from basic aspects of atmospheric fluid dynamics, the authors discuss the structure of winds fields, the available forecast systems and the handling of the intrinsic, weather-dependent uncertainties in the regional prediction of the power generated by wind turbines. This book addresses scientists and engineers working in wind energy related R and D and industry, as well as graduate students and nonspecialists researchers in the fields of atmospheric physics and meteorology.
Author |
: Harsh S. Dhiman |
Publisher |
: Academic Press |
Total Pages |
: 216 |
Release |
: 2020-01-20 |
ISBN-10 |
: 9780128213537 |
ISBN-13 |
: 0128213531 |
Rating |
: 4/5 (37 Downloads) |
Synopsis Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction by : Harsh S. Dhiman
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance. Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation. Features various supervised machine learning based regression models Offers global case studies for turbine wind farm layouts Includes state-of-the-art models and methodologies in wind forecasting
Author |
: Aubryn Cooperman |
Publisher |
: |
Total Pages |
: 86 |
Release |
: 2018 |
ISBN-10 |
: UCSD:31822043141944 |
ISBN-13 |
: |
Rating |
: 4/5 (44 Downloads) |
Synopsis Improving Short-term Wind Power Forecasting Through Measurements and Modeling of the Tehachapi Wind Resource Area by : Aubryn Cooperman
Author |
: Ahmad Vasel |
Publisher |
: Springer |
Total Pages |
: 216 |
Release |
: 2019-03-29 |
ISBN-10 |
: 9783030056360 |
ISBN-13 |
: 3030056368 |
Rating |
: 4/5 (60 Downloads) |
Synopsis Advances in Sustainable Energy by : Ahmad Vasel
This book reveals key challenges to ensuring the secure and sustainable production and use of energy resources, and provides corresponding solutions. It discusses the latest advances in renewable energy generation, and includes studies on climate change and social sustainability. In turn, the book goes beyond theory and describes practical challenges and solutions associated with energy and sustainability. In particular, it addresses: · renewable energy conversion technologies; · transmission, storage and consumption; · green buildings and the green economy; and · waste and recycling. The book presents the current state of knowledge on renewable energy and sustainability, supported by detailed examples and case studies, making it not only a cutting-edge source of information for experts and researchers in the field, but also an educational tool for related undergraduate and graduate courses.