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The author outlines a procedure for forecasting the§mean and the variance of the average price of§electricity over a specified time interval in a§deregulated market. Such information would be found§useful in financial forecasts, risk management,§derivative pricing, investment and operational§decisions. It is based on a system model in which the§physical and engineering processes and the bidding§strategies are simultaneously considered. A potential§advantage of this approach is that it can consider§changes in system''s structure over time (e.g., entry§of additional generators or a change in load.) The§emphasis in the current work is on the use of§analytical methods to forecast the statistical§distributions of prices. The estimates of variances§in addition to those of the expected values would§allow computation of prediction intervals for the§price as well as individual firm''s profits, and will§be useful for the purposes of risk management, for§example, in the computation of the Value-at-Risk§(VaR). The system based approach in this work is an§important first step in the construction of a§comprehensive model, which may help to design and§manage electricity deregulated markets.
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