Renewable Energy: Forecasting and Risk Management: Paris, France, June 7-9, 2017: 254 (Springer Proceedings in Mathematics & Statistics, 254) - Hardcover

Book 265 of 464: Springer Proceedings in Mathematics & Statistics
 
9783319990514: Renewable Energy: Forecasting and Risk Management: Paris, France, June 7-9, 2017: 254 (Springer Proceedings in Mathematics & Statistics, 254)
Hardcover
ISBN 10: 3319990519 ISBN 13: 9783319990514
Publisher: Springer, 2018

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2018
Language
English
ISBN 10 
3319990519
ISBN 13 
9783319990514
Binding
Hardcover
Edition number
1
Number of pages
259
Editor
Drobinski Philippe, Mougeot Mathilde, Picard Dominique, Plougonven Riwal, Tankov Peter