Spatial dependencies of wind power and interrelations with spot price dynamics

DOI10.1016/j.ejor.2014.08.026zbMath1338.91100OpenAlexW2033574776MaRDI QIDQ299819

Christina Elberg, Simeon Hagspiel

Publication date: 23 June 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10419/92964

zbMATH Keywords

copulaOR in energymarket valuestochastic spot price modelwind power

Mathematics Subject Classification ID

Related Items (9)

Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling ⋮ A mixed C-vine copula model for hedging price and volumetric risk in wind power trading ⋮ A comparison of tail dependence estimators ⋮ Multi-objective mean-variance-skewness model for nonconvex and stochastic optimal power flow considering wind power and load uncertainties ⋮ Rainfall option impact on profits of the hospitality industry through scenario correlation and copulas ⋮ Probabilistic forecasting of wind power ramp events using autoregressive logit models ⋮ Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market ⋮ Reliability with interdependent suppliers ⋮ Operations research in optimal power flow: a guide to recent and emerging methodologies and applications

Uses Software

• copula
• copula

Cites Work

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• A review of copula models for economic time series
• An introduction to copulas.
• Valuation of power plants by utility indifference and numerical computation
• Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market
• Generalized autoregressive conditional heteroscedasticity
• Dispatch planning using newsvendor dual problems and occupation times: application to hydropower
• Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
• A spot market model for pricing derivatives in electricity markets
• Valuation and Optimal Operation of Electric Power Plants in Competitive Markets

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