Models for Analyzing and Forecasting Economic Characteristics of Steam Power Plants.

Economico-statistical models of economic characteristics of power plants are considered. Results of modeling are illustrated by an example of determination of capital investments in condensing power plants. Two information levels of modeling - energy-economic and engineering-geographic - are singled out. To obtain a model of the energy-economic level, step regression analysis is used. It is shown that consideration of energy and economic factors alone leads to a large zone of indeterminacy in modeling. This zone of indeterminacy can be narrowed by taking into account the engineering and geographic group of parameters. The specific character of the problem at this level requires the use of special methods of statistical analysis. A method of modeling is proposed using factor and component analysis.