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The effects of the Iberian exception mechanism on wholesale electricity prices and consumer inflation: a synthetic-controls approach

• Authors : Ruiz, Miguel Haro; Schult, Christoph; Wunder, Christoph

Subjects: Q41; ddc:330; 05 social sciences

• Source: Applied Economics Letters. :1-7

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Sparse time-varying parameter VECMs with an application to modeling electricity prices

• Authors : Niko Hauzenberger; Michael Pfarrhofer; Luca Rossini

Subjects: FOS: Economics and business; FOS: Computer and information sciences; Econometrics (econ.EM)

• Source: International Journal of Forecasting. 41:361-376

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Integrated inventory and capacity management for hydrogen production under consideration of fluctuating electricity prices

• Authors : Venugopal Ramadasu; Gerald Reiner

• Source: International Journal of Production Research. :1-23

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Analysis and forecasting of electricity prices using an improved time series ensemble approach: an application to the Peruvian electricity market

• Authors : Salvatore Mancha Gonzales; Hasnain Iftikhar; Javier Linkolk López-Gonzales

Subjects: time series models; peruvian electricity market; weighting ensemble modeling

• Source: AIMS Mathematics, Vol 9, Iss 8, Pp 21952-21971 (2024)

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The Impact of Sector Coupling and Demand-side Flexibility on Electricity Prices in a Close to 100% Renewable Power System

• Authors : Helistö, Niina; Johanndeiter, Silke; Kiviluoma, Juha

Subjects: wholesale electricity prices; power system modelling; energy system integration

• Source: 2023 19th International Conference on the European Energy Market (EEM)

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Research on charging scheduling optimization of pure electric buses considering peak-valley time-of-use electricity prices and battery loss costs

• Authors : Zheng Feifeng; Wang Zhixin; Liu Ming

• Source: Scientific Insights and Discoveries Review. 4:299-312

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Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices

• Authors : Jonathan Berrisch; Florian Ziel

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; 05 social sciences

• Source: International Journal of Forecasting. 40:1568-1586

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Prediction Interval Construction Method for Electricity Prices

• Authors : Lu, Xin

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; FOS: Electrical engineering, electronic engineering, information engineering

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Non-parametric testing of the machine learning electricity prices forecasts

• Authors : Davor Zoričić

Subjects: Random Forest; Wilcoxon rank-sum test; dan unaprijed tržište

• Source: International journal of multidisciplinarity in business and scienceVolume 10Issue 16

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A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market

• Authors : Cameron Cornell; Nam Trong Dinh; S. Ali Pourmousavi

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; 7. Clean energy

• Source: International Journal of Forecasting. 40:1421-1437

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