Affiliation:
1. AFYON KOCATEPE UNIVERSITY
Abstract
This study aims to dynamically analyse the relationship between intraday market electricity prices and day-ahead market electricity prices and the amount of electricity generated based on the primary energy resource in Turkey. In this context, the data set consisting of electricity prices in the day-ahead market, electricity prices in the day-ahead market, and electricity generation amount based on primary energy resources, covering the period from 1 January 2018 to 19 June 2022, was analysed with TVP-VAR. Findings reveal that the relationship between variables changes over time and is affected by global events. Furthermore, it has been determined that the intraday market has moved from a general receiver of volatility to a general transmitter in the post-Covid 19 period.
Reference56 articles.
1. Antonakakis, N. & D. Gabauer (2017), “Refined Measures of Dynamic Connectedness based on TVP-VAR”, MPRA Paper 78282, University Library of Munich, Germany.
2. Antonakakis, N. et al. (2019), “Oil And Asset Classes Implied Volatilities: Dynamic Connectedness and Investment Strategies”, , 30.06.2022.
3. Apergis, N. et al. (2020), “Dependence Structure in the Australian Electricity Markets: New Evidence from Regular Vine Copulae”, Energy Economics, 90, 1-14.
4. Asceric, A. et al. (2022), “Correlation of Day-Ahead Electric Energy Market Price with Renewable Energy Sources Generation and Load Forecast, Advanced Technologies”, in: Advanced Technologies, Systems, and Applications VI (99-109).
5. Bento, P.M.R. et al. (2018), “A Bat Optimized Neural Network and Wavelet Transform Approach for Short Term Price Forecasting”, Applied Energy, 210, 88-97.
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