Description: Renewable Energy: Forecasting and Risk Management Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Paris, France, June 7-9, 2017 Author(s): Philippe Drobinski, Mathilde Mougeot, Dominique Picard, Riwal Plougonven, Peter Tankov Format: Hardback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319990514, 978-3319990514 Synopsis 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.
Price: 112.02 GBP
Location: Aldershot
End Time: 2025-02-04T09:06:59.000Z
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Book Title: Renewable Energy: Forecasting and Risk Management
Number of Pages: 246 Pages
Publication Name: Renewable Energy: Forecasting and Risk Management: Paris, France, June 7-9, 2017
Language: English
Publisher: Springer International Publishing A&G
Item Height: 235 mm
Subject: Geology
Publication Year: 2018
Type: Textbook
Item Weight: 559 g
Subject Area: Educational Technology
Author: Riwal Plougonven, Dominique Picard, Philippe Drobinski, Peter Tankov, Mathilde Mougeot
Item Width: 155 mm
Series: Springer Proceedings in Mathematics & Statistics
Format: Hardcover
