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Renewable Energy: Forecasting and Risk Management

2018-12-27 Mathematics
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Release : 2018-12-27
Genre : Mathematics
Kind : eBook
Book Rating : 527/5 ( reviews)

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Book Synopsis Renewable Energy: Forecasting and Risk Management by : Philippe Drobinski

Download or read book Renewable Energy: Forecasting and Risk Management written by Philippe Drobinski. This book was released on 2018-12-27. Available in PDF, EPUB and Kindle. Book excerpt: 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; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems.

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.

Renewable Energy Forecasting

2017-09-29 Technology & Engineering
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Release : 2017-09-29
Genre : Technology & Engineering
Kind : eBook
Book Rating : 059/5 ( reviews)

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Book Synopsis Renewable Energy Forecasting by : Georges Kariniotakis

Download or read book Renewable Energy Forecasting written by Georges Kariniotakis. This book was released on 2017-09-29. Available in PDF, EPUB and Kindle. Book excerpt: 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

Modeling and Forecasting Electricity Demand

2015
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Release : 2015
Genre :
Kind : eBook
Book Rating : 701/5 ( reviews)

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Book Synopsis Modeling and Forecasting Electricity Demand by : Kevin Berk

Download or read book Modeling and Forecasting Electricity Demand written by Kevin Berk. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for estimating the risk of retail contracts. The uncertainty of electricity demand is an important risk factor for customers as well as for utilities and retailers. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants. Contents Electricity Market Energy Economy in Enterprises Time Series Analysis A one Factor Model for medium-term Load Forecasting Retail Contract Evaluation and Pricing MATLAB Implementation Target Groups Researchers and students in energy economics or mathematics and statistics with a focus on applications in energy markets Professionals in electricity utilities, energy vendors, risk management The Author Kevin Berk is a Ph.D. student at the Mathematics Department of the University Siegen, Germany. His major research focus is risk management and time series models with applications in energy markets.

Financial Risk Management Instruments for Renewable Energy Projects

2004 Business & Economics
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Release : 2004
Genre : Business & Economics
Kind : eBook
Book Rating : 452/5 ( reviews)

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Book Synopsis Financial Risk Management Instruments for Renewable Energy Projects by : United Nations Environment Programme. Division of Technology, Industry, and Economics

Download or read book Financial Risk Management Instruments for Renewable Energy Projects written by United Nations Environment Programme. Division of Technology, Industry, and Economics. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: Appropriate risk management tools can help remove some of the barriers to financing Renewable Energy Technology (RET) projects, particularly in developing countries where risk and risk perceptions are highest. That is why UNEP is working on a comprehensive overview of currently available and potential financial risk management instruments for Renewable Energy Technology (RET) projects. This study will pave the way for an upcoming GEF project that will promote the use of financial risk management instruments that favor the development of RETs.

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