D
Derk J. Swider
Researcher at University of Stuttgart
Publications - 19
Citations - 829
Derk J. Swider is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Electricity market & Wind power. The author has an hindex of 13, co-authored 19 publications receiving 787 citations.
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Consequential environmental system analysis of expected offshore wind electricity production in Germany
TL;DR: In this paper, an extended life-cycle assessment of wind farms is presented, showing that the CO 2 emissions from the construction and operation of offshore wind farms are low compared with the substitution effects of fossil fuels.
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Conditions and costs for renewables electricity grid connection: Examples in Europe
Derk J. Swider,Luuk Beurskens,Sarah Davidson,John Twidell,Jurek Pyrko,Wolfgang Prüggler,Hans Auer,Katarina Vertin,Romualdas Skema +8 more
TL;DR: In this article, conditions and costs for RES-E grid connection in selected European countries are compared, including Germany, Netherlands, the United Kingdom, Sweden, Austria, Lithuania and Slovenia.
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A comparison of empirically based steady-state models for vapor-compression liquid chillers
TL;DR: In this article, a multilayer perceptron neural network model is introduced to predict the coefficient of performance by only using input variables that are readily known to the operating engineer and the comparison demonstrates that neural networks show higher generalization abilities and at least equal forecast results compared to regression models.
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Extended ARMA models for estimating price developments on day-ahead electricity markets
Derk J. Swider,Christoph Weber +1 more
TL;DR: In this paper, extended models for estimating price developments on electricity markets are presented based on an ARMA model combination with GARCH, Gaussian-mixture and switching-regime approaches.
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The costs of wind's intermittency in Germany: application of a stochastic electricity market model
Derk J. Swider,Christoph Weber +1 more
TL;DR: In this article, a stochastic fundamental electricity market model is applied to estimate the integration costs of wind due to changed system operation and investments in Germany, where the model's principle is cost minimization by determining the system costs mainly as a function of available generation and transmission capacities, primary energy prices, plant characteristics and electricity demand.