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Fuzzy Price Forecasting and Energy Contracting in Competitive Electricity Markets

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Soft Computing for Risk Evaluation and Management

Abstract

Of many applications, the fuzzy sets approach in cases involving human decisions seems to be the most promising. Electricity markets have brought new challenges to researches as varying prices and uncertain volume of energy production result in risk to be taken when contracting energy. The implementation of fuzzy approach allows the price pattern determination and the evaluation of the risk taken for various market attitudes [1]. The data used in research comes from the Australian Electricity Market, which seems to the most advanced electricity market with 5-minute dispatch prices.

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Reference

  • Michalik G., „Fuzzy Logic Approach to Contracting Electrical Energy in Competitive Electricity Markets“, PhD thesis, Monash University, Melbourne, Australia, 1999.

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© 2001 Physica-Verlag Heidelberg

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Mielczarski, W., Michalik-Mielczarska, G. (2001). Fuzzy Price Forecasting and Energy Contracting in Competitive Electricity Markets. In: Ruan, D., Kacprzyk, J., Fedrizzi, M. (eds) Soft Computing for Risk Evaluation and Management. Studies in Fuzziness and Soft Computing, vol 76. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1814-7_15

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  • DOI: https://doi.org/10.1007/978-3-7908-1814-7_15

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-00348-0

  • Online ISBN: 978-3-7908-1814-7

  • eBook Packages: Springer Book Archive

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