Renewable Energy Forecasting

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

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  • Author : Georges Kariniotakis
  • Publisher : Woodhead Publishing
  • Pages : 386 pages
  • ISBN : 0081005059
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKRenewable Energy Forecasting

Renewable Energy Forecasting

Renewable Energy Forecasting
  • Author : Georges Kariniotakis
  • Publisher : Woodhead Publishing
  • Release : 29 September 2017
GET THIS BOOKRenewable Energy Forecasting

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: Forecasting and Risk Management

Renewable Energy: Forecasting and Risk Management
  • Author : Philippe Drobinski,Mathilde Mougeot,Dominique Picard,Riwal Plougonven,Peter Tankov
  • Publisher : Springer
  • Release : 27 December 2018
GET THIS BOOKRenewable Energy: Forecasting and Risk Management

Gathering selected, revised and extended contributions from the conference ‘Forecasting and Risk Management for Renewable Energy FOREWER’, which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand;

Solar Energy Forecasting and Resource Assessment

Solar Energy Forecasting and Resource Assessment
  • Author : Jan Kleissl
  • Publisher : Academic Press
  • Release : 25 June 2013
GET THIS BOOKSolar Energy Forecasting and Resource Assessment

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

Renewable Energy Resource Assessment and Forecasting

Renewable Energy Resource Assessment and Forecasting
  • Author : George Galanis
  • Publisher : Unknown Publisher
  • Release : 29 June 2022
GET THIS BOOKRenewable Energy Resource Assessment and Forecasting

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

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
  • Author : Harsh S. Dhiman,Valentina Emilia Balas
  • Publisher : Academic Press
  • Release : 20 January 2020
GET THIS BOOKSupervised Machine Learning in Wind Forecasting and Ramp Event Prediction

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,

Time Series Analysis and Applications

Time Series Analysis and Applications
  • Author : Nawaz Mohamudally
  • Publisher : IntechOpen
  • Release : 24 January 2018
GET THIS BOOKTime Series Analysis and Applications

Time Series Analysis (TSA) and Applications offers a dense content of current research and development in the field of data science. The book presents time series from a multidisciplinary approach that covers a wide range of sectors ranging from biostatistics to renewable energy forecasting. Contrary to previous literatures on time, serious readers will discover the potential of TSA in areas other than finance or weather forecasting. The choice of the algorithmic transform for different scenarios, which is a key determinant

Energy Time Series Forecasting

Energy Time Series Forecasting
  • Author : Lars Dannecker
  • Publisher : Springer
  • Release : 06 August 2015
GET THIS BOOKEnergy Time Series Forecasting

Lars Dannecker developed a novel online forecasting process that significantly improves how forecasts are calculated. It increases forecasting efficiency and accuracy, as well as allowing the process to adapt to different situations and applications. Improving the forecasting efficiency is a key pre-requisite for ensuring stable electricity grids in the face of an increasing amount of renewable energy sources. It is also important to facilitate the move from static day ahead electricity trading towards more dynamic real-time marketplaces. The online forecasting

Energy Management

Energy Management
  • Author : Valentin A. Boicea
  • Publisher : CRC Press
  • Release : 27 June 2021
GET THIS BOOKEnergy Management

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of

Optimization in Renewable Energy Systems

Optimization in Renewable Energy Systems
  • Author : Ozan Erdinc
  • Publisher : Butterworth-Heinemann
  • Release : 25 February 2017
GET THIS BOOKOptimization in Renewable Energy Systems

Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum

Integrating Renewables in Electricity Markets

Integrating Renewables in Electricity Markets
  • Author : Juan M. Morales,Antonio J. Conejo,Henrik Madsen,Pierre Pinson,Marco Zugno
  • Publisher : Springer Science & Business Media
  • Release : 03 December 2013
GET THIS BOOKIntegrating Renewables in Electricity Markets

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

Enhancing Future Skills and Entrepreneurship

Enhancing Future Skills and Entrepreneurship
  • Author : Kuldip Singh Sangwan,Christoph Herrmann
  • Publisher : Springer Nature
  • Release : 27 July 2020
GET THIS BOOKEnhancing Future Skills and Entrepreneurship

This open access book presents the proceedings of the 3rd Indo-German Conference on Sustainability in Engineering held at Birla Institute of Technology and Science, Pilani, India, on September 16–17, 2019. Intended to foster the synergies between research and education, the conference is one of the joint activities of the BITS Pilani and TU Braunschweig conducted under the auspices of Indo-German Center for Sustainable Manufacturing, established in 2009. The book is divided into three sections: engineering, education and entrepreneurship, covering a range of topics,

Electric Power Systems

Electric Power Systems
  • Author : João P. S. Catalão
  • Publisher : CRC Press
  • Release : 19 December 2017
GET THIS BOOKElectric Power Systems

Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling helps readers develop their skills in modeling, simulating, and optimizing electric power systems. Carefully balancing theory and practice, it presents novel, cutting-edge developments in forecasting and scheduling. The focus is on understanding and solving pivotal problems in the management of electric power generation systems. Methods for Coping with Uncertainty and Risk in Electric Power Generation Outlining real-world problems, the book begins with an overview of electric power generation systems. Since