Skip to main content
SpringerLink
Log in
Book cover

Renewable Energy: Forecasting and Risk Management

Paris, France, June 7-9, 2017

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Philippe Drobinski

    1. Laboratoire de Méteorologie Dynamique, CNRS, Palaiseau, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Mathilde Mougeot

    1. UFR de Mathématiques, Université Paris Diderot, Paris, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Dominique Picard

    1. UFR de Mathématiques, Université Paris Diderot, Paris, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Riwal Plougonven

    1. Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Peter Tankov

    1. CREST—ENSAE Paris Tech, Palaiseau, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 254)

Included in the following conference series:

Conference proceedings info: FRM 2017.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Renewable Energy: Modeling and Forecasting

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Marginal Weibull Diffusion Model for Wind Speed Modeling and Short-Term Forecasting

      • Alain Bensoussan, Alexandre Brouste
      Pages 3-22

    3. From Numerical Weather Prediction Outputs to Accurate Local Surface Wind Speed: Statistical Modeling and Forecasts

      • Bastien Alonzo, Riwal Plougonven, Mathilde Mougeot, Aurélie Fischer, Aurore Dupré, Philippe Drobinski
      Pages 23-44

    4. Stochastic Lagrangian Approach for Wind Farm Simulation

      • Mireille Bossy, Aurore Dupré, Philippe Drobinski, Laurent Violeau, Christian Briard
      Pages 45-71

    5. Day-Ahead Probabilistic Forecast of Solar Irradiance: A Stochastic Differential Equation Approach

      • Jordi Badosa, Emmanuel Gobet, Maxime Grangereau, Daeyoung Kim
      Pages 73-93

    6. Homogeneous Climate Regions Using Learning Algorithms

      • Mathilde Mougeot, Dominique Picard, Vincent Lefieux, Miranda Marchand
      Pages 95-118

    7. Electricity Demand Forecasting: The Uruguayan Case

      • Andrés Castrillejo, Jairo Cugliari, Fernando Massa, Ignacio Ramirez
      Pages 119-136

    8. A Flexible Mixed Additive-Multiplicative Model for Load Forecasting in a Smart Grid Setting

      • Eugene A. Feinberg, Jun Fei
      Pages 137-145

    9. A Generic Method for Density Forecasts Recalibration

      • Jérôme Collet, Michael Richard
      Pages 147-166

  3. Renewable Energy: Risk Management

    1. Front Matter

      Pages 167-167
      Download chapter PDF

    2. Anticipating Some of the Challenges and Solutions for 60% Renewable Energy Sources in the European Electricity System

      • Vera Silva, Miguel López-Botet Zulueta, Ye Wang, Paul Fourment, Timothee Hinchliffe, Alain Burtin et al.
      Pages 169-184Open Access

    3. A Joint Model for Electricity Spot Prices and Wind Penetration with Dependence in the Extremes

      • Thomas Deschatre, Almut E. D. Veraart
      Pages 185-207

    4. The Optimal Control of Storage for Arbitrage and Buffering, with Energy Applications

      • James Cruise, Stan Zachary
      Pages 209-227

    5. Optimal Management of a Wind Power Plant with Storage Capacity

      • Jérôme Collet, Olivier Féron, Peter Tankov
      Pages 229-246
Back to top

Other volumes

  1. Renewable Energy: Forecasting and Risk Management

Keywords

About this book

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.

Editors and Affiliations

  • Laboratoire de Méteorologie Dynamique, CNRS, Palaiseau, France

    Philippe Drobinski

  • UFR de Mathématiques, Université Paris Diderot, Paris, France

    Mathilde Mougeot, Dominique Picard

  • Laboratoire de Météorologie Dynamique, Ecole Polytechnique, Palaiseau, France

    Riwal Plougonven

  • CREST—ENSAE Paris Tech, Palaiseau, France

    Peter Tankov

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation