Abstract
This paper studies the impact of energy and stock markets upon electricity markets using Multidimensional Scaling (MDS). Historical values from major energy, stock and electricity markets are adopted. To analyze the data several graphs produced by MDS are presented and discussed. This method is useful to have a deeper insight into the behavior and the correlation of the markets. The results may also guide the construction models, helping electricity markets agents hedging against Market Clearing Price (MCP) volatility and, simultaneously, to achieve better financial results.
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Acknowledgments
The author thanks the following organizations for allowing access to the data:
• U.S. Energy and Information, http://www.eia.doe.gov/
• Yahoo! Finance, http://finance.yahoo.com/
• OMEL Mercado de Electricidad, http://www.omel.es/inicio
• PJM: Interconnection, http://www.pjm.com/
• EXAA Energy Exchange Austria, http://www.exaa.at/
• GME Gestore Mercati Energetici, http://www.mercatoelettrico.org/En/Default.aspx
The authors acknowledge the help of João Soares to obtain the historical data.
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© 2013 Springer Science+Business Media Dordrecht
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Azevedo, F., Machado, J.T. (2013). Multidimensional Scaling Analysis of Electricity Market Prices. In: Madureira, A., Reis, C., Marques, V. (eds) Computational Intelligence and Decision Making. Intelligent Systems, Control and Automation: Science and Engineering, vol 61. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4722-7_32
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DOI: https://doi.org/10.1007/978-94-007-4722-7_32
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