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Overview of Some Recent Results of Energy Market Modeling and Clean Energy Vision in Canada

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  • Anatoliy Swishchuk

    (Department of Mathematics and Statistics, University of Calgary, Calgary, AB T2N 1N4, Canada)

Abstract

This paper overviews our recent results of energy market modeling, including The option pricing formula for a mean-reversion asset, variance and volatility swaps on energy markets, applications of weather derivatives on energy markets, pricing crude oil options using the Lévy processes, energy contracts modeling with delayed and jumped volatilities, applications of mean-reverting processes on Alberta energy markets, and alternatives to the Black-76 model for options valuation of futures contracts. We will also consider the clean renewable energy prospective in Canada, and, in particular, in Alberta and Calgary.

Suggested Citation

  • Anatoliy Swishchuk, 2023. "Overview of Some Recent Results of Energy Market Modeling and Clean Energy Vision in Canada," Risks, MDPI, vol. 11(8), pages 1-30, August.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:8:p:150-:d:1217133
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    References listed on IDEAS

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    1. R. Navarro & H. Rojas & Izabelly S. De Oliveira & J. E. Luyo & Y. P. Molina, 2022. "Optimization Model for the Integration of the Electric System and Gas Network: Peruvian Case," Energies, MDPI, vol. 15(10), pages 1-32, May.
    2. Sergei Podkovalnikov & Lyudmila Chudinova & Ivan L. Trofimov & Leonid Trofimov, 2022. "Structural and Operating Features of the Creation of an Interstate Electric Power Interconnection in North-East Asia with Large-Scale Penetration of Renewables," Energies, MDPI, vol. 15(10), pages 1-29, May.
    3. Piotr F. Borowski, 2020. "Zonal and Nodal Models of Energy Market in European Union," Energies, MDPI, vol. 13(16), pages 1-21, August.
    4. Fred Espen Benth & Jurate Saltyte-Benth, 2005. "Stochastic Modelling of Temperature Variations with a View Towards Weather Derivatives," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 53-85.
    5. Bo Sun & Siyuan Cheng & Jingdong Xie & Xin Sun, 2022. "Identification of Generators’ Economic Withholding Behavior Based on a SCAD-Logit Model in Electricity Spot Market," Energies, MDPI, vol. 15(11), pages 1-23, June.
    6. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    7. Zahid Ullah & Arshad & Hany Hassanin, 2022. "Modeling, Optimization, and Analysis of a Virtual Power Plant Demand Response Mechanism for the Internal Electricity Market Considering the Uncertainty of Renewable Energy Sources," Energies, MDPI, vol. 15(14), pages 1-16, July.
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