Skip to main content
SpringerLink
Log in
Book cover

Modeling and Forecasting Electricity Demand

A Risk Management Perspective

  • Book
  • © 2015

Overview

Authors:
  1. Kevin Berk

    1. Mathematik, Universität Siegen, Siegen, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Study in the field of natural sciences
  • Includes supplementary material: sn.pub/extras

Part of the book series: BestMasters (BEST)

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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 (7 chapters)

  1. Front Matter

    Pages 1-16
    Download chapter PDF

  2. Electricity market

    • Kevin Berk
    Pages 5-9

  3. Energy economy in enterprises

    • Kevin Berk
    Pages 11-23

  4. Time series analysis

    • Kevin Berk
    Pages 25-52

  5. A one factor model for medium-term load forecasting

    • Kevin Berk
    Pages 53-83

  6. Retail contract evaluation and pricing

    • Kevin Berk
    Pages 85-89

  7. MATLAB implementation

    • Kevin Berk
    Pages 91-95

  8. Conclusion and outlook

    • Kevin Berk
    Pages 97-98

  9. Back Matter

    Pages 99-115
    Download chapter PDF
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Mathematik, Universität Siegen, Siegen, Germany

    Kevin Berk

About 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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation