|
|
Long Term Load Forecast module is designed for forecasting the energy demand during the planning stages of a power system. The salient features of this tool are its generality to apply for any type of load data. The tool can accommodate any number of independent variables, which are very significant. The method adopts multivariate regression techniques for the forecasting. |
Features of Long Term Load Forecast
|
|
Based on the user input value, the forecasting model is selected. |
|
|
Facility to accommodate more than one independent variable (maximum 18) like, population, per-capita income, number of consumers, etc. |
|
|
In the same data file it is possible to define more than one dependent variable (maximum 18) for example total electricity consumption by different categories like, domestic, commercial, and agriculture etc. |
|
|
Capable of selecting the best model out of various models. |
|
|
Facility to accommodate maximum of 48 observations for each category. |
|
|
Output includes reports and bar graph files. |
