Comparative analysis of features of Polish and Lithuanian Day-ahead electricity market prices

Bobinaitė, Viktorija; Juozapavičienė, Aldona; Staniewski, Marcin W.; Szczepankowski, Piotr

doi:10.1016/j.enpol.2013.08.045

Cited by 8 publications

(5 citation statements)

References 18 publications

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“…Until 2008, the price of coal in the European coal market increased systematically, despite its growing volatility (Bobinaite et al, 2013;Bo andJunhai, 2011, Sun et al, 2013;Nawrocki and Jonek-Kowalska, 2013) (Fig. 10).…”

Section: -2015 Strategy For Coal Mining In 2007-2015mentioning

confidence: 95%

Challenges for long-term industry restructuring in the Upper Silesian Coal Basin: What has Polish coal mining achieved and failed from a twenty-year perspective?

Jonek-Kowalska

2015

Resources Policy

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Section: -2015 Strategy For Coal Mining In 2007-2015mentioning

confidence: 95%

Challenges for long-term industry restructuring in the Upper Silesian Coal Basin: What has Polish coal mining achieved and failed from a twenty-year perspective?

Jonek-Kowalska

2015

Resources Policy

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“…e larger the standard deviation and the coefficient of variation, the greater the difference in green development capabilities between cities. Bobinaite et al [54] combined the standard deviation and the coefficient of variation to analyze the price characteristics (volatility and Complexity peak value) of the Lithuanian and Polish day-a-day power market in order to better understand the process of price formation in the Polish and Lithuanian power market, so as to provide a theoretical basis for the country to implement national energy policies and measures. e calculation formulas for standard deviation and coefficient of variation are…”

Section: Standard Deviation and Variationmentioning

confidence: 99%

Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis

Zhang

Liu

et al. 2020

Complexity

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With the development of industrialization and urbanization, cities have become the main carriers of economic activities. However, the long-term development of cities has also caused damage to resources and the environment. Hence, objective and scientific evaluation of urban low-carbon sustainable development capacity is very important. An index system of urban low-carbon sustainable development capability is constructed in this paper, and a TOPSIS-BP neural network model is established to evaluate the low-carbon sustainable development capability of Beijing, Shanghai, Shenzhen, and Guangzhou in China. At the same time, the difference degree of low-carbon sustainable development level in these four cities is analyzed by standard deviation and coefficient of variation, and the influencing factors of urban low-carbon sustainable development ability are extracted by grey correlation analysis. The results show that (1) the capability of low-carbon sustainable development in four cities is rising and the difference of low-carbon sustainable development capability is decreasing; (2) the general view that the higher the general investment in low-carbon sustainable development, the higher the level of low-carbon sustainable development in cities has not been verified; (3) with the change of time series, the factors affecting the capability of low-carbon sustainable development in the same city are different and the influence of the same factor on the capability of low-carbon sustainable development in different cities is different.

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“…In the case of the Polish Power Exchange, detailed information on its regulation, trading rules and functioning can be found on the webpage: http://www.polpx.pl/en. Furthermore, one of the very few papers analysing day-ahead electricity prices on the Polish Power Exchange was carried out by (Bobinaite et al, 2013). Although (Bobinaite et al, 2013) paper investigates price developments, the issue of the introduction of new regulations was not considered.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, one of the very few papers analysing day-ahead electricity prices on the Polish Power Exchange was carried out by (Bobinaite et al, 2013). Although (Bobinaite et al, 2013) paper investigates price developments, the issue of the introduction of new regulations was not considered. Therefore, our paper contributes to electricity regulation and the literature on policy with a strong emphasis on the impact of energy regulators on market design.…”

Section: Introductionmentioning

confidence: 99%

Bringing in Liquidity and Transparency when the Power Sector is Consolidated: The Duty to Trade on the Power Exchange

Swora¹,

Kamiński

2017

Review of Economics and Institutions

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The paper discusses an energy policy instrument that was introduced in the power sector in order to reduce inefficient in--group electricity trading that was a source of soaring electricity prices. The remedy was especially tailored to correct the market failure that occurred in the Polish power market as a result of both: (i) the termination of Long Term Contracts and (ii) the governmentally steered consolidation of the power sector that also involved vertical integration. Several behavioural and structural instruments are considered and the reasoning supporting selection of the most appropriate one is given. The outcomes of qualitative analysis confirm that the remedy applied, namely the introduction of the PX duty to trade into the Polish Energy Law, was a successful market reform. The research carried out in this paper contributes to scientific knowledge on regulatory and policy issues and the solutions adopted can be considered as one of possible solutions of problems related to the lack of transparency and liquidity of power markets. JEL classification: K23

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Comparative analysis of features of Polish and Lithuanian Day-ahead electricity market prices

Cited by 8 publications

References 18 publications

Challenges for long-term industry restructuring in the Upper Silesian Coal Basin: What has Polish coal mining achieved and failed from a twenty-year perspective?

Challenges for long-term industry restructuring in the Upper Silesian Coal Basin: What has Polish coal mining achieved and failed from a twenty-year perspective?

Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis

Bringing in Liquidity and Transparency when the Power Sector is Consolidated: The Duty to Trade on the Power Exchange

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