Engineering Interrelated Electricity Markets

An Agent-Based Computational Approach

  • Anke¬†Weidlich
Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Motivation and Fundamentals

  3. An Agent-Based Simulation Model for Interrelated Electricity Markets

  4. Application, Evaluation and Discussion

  5. Back Matter
    Pages 141-174

About this book

Introduction

Due to the characteristics of electricity, power markets rank among the most complex markets operated at present. The requirements of an environmentally sustainable, economically efficient, and secure energy supply have resulted in the emergence of several interrelated markets that have to be carefully engineered in order to ensure efficient market outcomes.

This book presents an agent-based simulation model that facilitates electricity market research. Simulation outcomes from this model are validated against price data from German power markets. The results significantly contribute to existing research in agent-based simulation and electricity market modeling, and provide insights into the impact of the market structure and market design on electricity prices.

The book addresses researchers, lecturers and students who are interested in applying agent-based simulation to power markets. It provides a thorough discussion of the methodology and helpful details for model implementation.

Keywords

Agent-Based Simulation Computational Economics Electricity Markets Market Engineering Reinforcement Learning Simulation linear optimization modeling

Authors and affiliations

  • Anke¬†Weidlich
    • 1
  1. 1.Dieter Schwarz Chair of Business Administration and Information Systems SchlossUniversity of MannheimMannheimGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-2068-3
  • Copyright Information Physica-Verlag HD 2008
  • Publisher Name Physica-Verlag HD
  • eBook Packages Engineering
  • Print ISBN 978-3-7908-2067-6
  • Online ISBN 978-3-7908-2068-3
  • Series Print ISSN 1431-1941