A multivariate dependence analysis for electricity prices, demand and renewable energy sources

@article{Durante2022AMD,
  title={A multivariate dependence analysis for electricity prices, demand and renewable energy sources},
  author={Fabrizio Durante and Angelica Gianfreda and Francesco Ravazzolo and Luca Rossini},
  journal={Inf. Sci.},
  year={2022},
  volume={590},
  pages={74-89}
}
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References

SHOWING 1-10 OF 49 REFERENCES

Modeling Spot Price Dependence in Australian Electricity Markets with Applications to Risk Management

A significant positive dependence structure is found between the prices for all considered markets, while the strongest dependence is exhibited between markets that are connected via interconnector transmission lines.

Modeling and forecasting electricity spot prices: A functional data perspective

Classical time series models have serious difficulties in modeling and forecasting the enormous fluctuations of electricity spot prices. Markov regime switch models belong to the most often used

Comparing the forecasting performances of linear models for electricity prices with high RES penetration

The impact of wind power generation on the electricity price in Germany

Electricity price dependence in New York State zones: A robust detrended correlation approach

The cost of electricity varies across the zones of the New York State electric system. While fair and open access to the electrical grid is sought, we show that residents currently do not equally

A Regime-Switching Copula Approach to Modeling Day-Ahead Prices in Coupled Electricity Markets (Pre-print)

The recent price coupling of many European electricity markets has triggered a fundamental change in the interaction of day-ahead prices, challenging additionally the modeling of the joint behavior