How did the German and other European electricity systems react to the COVID-19 pandemic?

Halbrügge, Stephanie; Schott, Paul; Weibelzahl, Martin; Buhl, Hans Ulrich; Fridgen, Gilbert; Schöpf, Michael

doi:10.1016/j.apenergy.2020.116370

Cited by 114 publications

(84 citation statements)

References 31 publications

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“…The study of the impact of the COVID-19 pandemic on energy consumption shows that the pandemic disrupted and reduced energy consumption, creating significant uncertainty in terms of energy demand and supply [30][31][32][33][34][35][36].…”

Section: The Influence Of Covid-19 On Electric Energy Consumptionmentioning

confidence: 99%

“…The COVID-19 pandemic facilitated the discussion of some of the energy transition opportunities [35,52,53]. According to the International Energy Agency (IEA) projection for 2020, global energy consumption will be 6% lower in 2020 compared to 2019 [6], renewable energy consumption will increase by 0.8% in 2020, and electricity demand will return largely to 2019 to 2025 levels.…”

Section: The Influence Of Covid-19 On Electric Energy Consumptionmentioning

confidence: 99%

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The Impact of the COVID-19 Pandemic on Electricity Consumption and Economic Growth in Romania

et al. 2021

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This paper analyzes the impact of the COVID-19 pandemic on economic growth and electricity consumption and investigates the hypothesis of the influence of this consumption on the gross domestic product (GDP) for Romania. Using time series on monthly electricity consumption and quarterly GDP and a multi-linear regression model, we performed an analysis of the evolution of these indicators for 2007–2020, a comparison between their behavior during the financial crisis vs. COVID-19 crisis, and empirically explore the relationships between GDP and electricity consumption or some of its components. The results of the analysis confirm that the shock of declining activity due to the COVID-19 pandemic had a severe negative impact on electric energy consumption and GDP in the first half of 2020, followed by a slight recovery. By using a linear regression model, long-term relationships between GDP and domestic and non-household electricity consumptions were found. The empirically estimated elasticity coefficients confirm the more important impact of non-household electricity consumption on GDP compared to the one of domestic electricity consumption. In the context of the COVID-19 pandemic, the results of the study could be useful for optimizing energy and economic growth policies at the national and European levels.

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Section: The Influence Of Covid-19 On Electric Energy Consumptionmentioning

confidence: 99%

Section: The Influence Of Covid-19 On Electric Energy Consumptionmentioning

confidence: 99%

The Impact of the COVID-19 Pandemic on Electricity Consumption and Economic Growth in Romania

et al. 2021

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“…The study results showed that the decrease in electricity consumption had a rapid effect on the dayahead electricity market. 22 Halbrügge et al (2021) applied data visualization and descriptive statistics to reveal how German electricity systems were affected during the COVID-19 pandemic. The analysis results of the study revealed that COVID-19 caused not only noticeable changes in electricity consumption in Germany but also in pricing, import, and export.…”

Section: Chinamentioning

confidence: 99%

“…The analysis results of the study revealed that COVID-19 caused not only noticeable changes in electricity consumption in Germany but also in pricing, import, and export. 23 developed regressive and neural network models to determine the change in electricity and petroleum consumption in China, the first country to suffer from COVID-19.…”

Section: Chinamentioning

confidence: 99%

The impact of COVID ‐19 on the electricity demand: a case study for Turkey

Ceylan

2021

Int J Energy Res

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Due to the extraordinary impact of the Coronavirus Disease 2019 and the resulting lockdown measures, the demand for energy in business and industry has dropped significantly. This change in demand makes it difficult to manage energy generation, especially electricity production and delivery. Thus, reliable models are needed to continue safe, secure, and reliable power.An accurate forecast of electricity demand is essential for making a reliable decision in strategic planning and investments in the future. This study presents the extensive effects of COVID-19 on the electricity sector and aims to predict electricity demand accurately during the lockdown period in Turkey. For this purpose, well-known machine learning algorithms such as Gaussian process regression (GPR), sequential minimal optimization regression (SMOReg), correlated Nyström views (XNV), linear regression (LR), reduced error pruning tree (REPTree), and M5P model tree (M5P) were used. The SMOReg algorithm performed best with the lowest mean absolute percentage error (3.6851%), mean absolute error (21.9590), root mean square error (29.7358), and root relative squared error (36.5556%) values in the test dataset. This study can help policy-makers develop appropriate policies to control the harms of not only the current pandemic crisis but also an unforeseeable crisis.

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“…Common findings included a generalized reduction of electricity consumption during lockdowns, as well as a higher contribution of renewable power generation compared with a no-COVID scenario. A number of country-level studies have been presented, including an overview of the effects at the European level [ 13 ], and specific analyses for Italy [ 14 ], the United States [ 15 , 16 ], the United Kingdom [ 17 ], Germany [ 18 ] and Brazil [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

A multi-disciplinary approach to estimate the medium-term impact of COVID-19 on transport and energy: A case study for Italy

Bazzana

Cohen²,

Golinucci

et al. 2022

Energy

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The aim of this paper is to estimate the potential impacts of different COVID-19 scenarios on the Italian energy sector through 2030, with a specific focus on transport and industry. The analysis takes a multi-disciplinary approach to properly consider the complex interactions of sectors across Italy. This approach includes the assessment of economic conditions using macroeconomic and input-output models, modelling the evolution of the energy system using an energy and transport model, and forecasting the reaction of travel demand and modal choice using econometric models and expert interviews. Results show that the effect of COVID-19 pandemic may lead to mid-term effects on energy consumption. The medium scenario, which assumes a stop of the emergency by the end of 2021, shows that energy-related emissions remain 10% lower than the baseline in the industry sector and 6% lower in the transport sector by 2030, when compared with a pre-COVID trend. Policy recommendations to support a green recovery are discussed in light of the results.

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How did the German and other European electricity systems react to the COVID-19 pandemic?

Cited by 114 publications

References 31 publications

The Impact of the COVID-19 Pandemic on Electricity Consumption and Economic Growth in Romania

The Impact of the COVID-19 Pandemic on Electricity Consumption and Economic Growth in Romania

The impact of COVID ‐19 on the electricity demand: a case study for Turkey

A multi-disciplinary approach to estimate the medium-term impact of COVID-19 on transport and energy: A case study for Italy

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