Title :
T@R - temperature at risk [electric utility management]
Author :
Rosenberg, Michael ; Sidorenko, Nikolai
Abstract :
Management often needs one value that monitors adverse effects of weather uncertainty on the portfolio value. The full-scale approach to value the uncertainty of the retail portfolio would be to consider two correlated stochastic processes: power price (P) and load (L). The portfolio uncertainty is calculated by applying the effective volatilities and correlation of P and L plus a cross-period correlation matrix. Here a practitioner faces a real challenge of calculating numerous parameters required by the model. The authors propose a method to overcome this obstacle in the same way as V@R value at risk calculates the market price uncertainty. To this end, they introduce T@R - temperature at risk that measures portfolio or contract value uncertainty with respect to temperature (or weather in general). A wide number of numerical techniques can be used in the proposed methodology for T@R calculation.
Keywords :
electricity supply industry; management; power system economics; value engineering; contract value uncertainty; cross-period correlation matrix; electric utility management; load; portfolio uncertainty; portfolio value; power price; retail portfolio; temperature at risk; weather uncertainty; Contracts; Energy management; Polynomials; Portfolios; Stochastic processes; Temperature sensors; Testing; Uncertainty;
Conference_Titel :
Power Engineering Society Summer Meeting, 2001
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-7173-9
DOI :
10.1109/PESS.2001.970118