On the demand side, the situation is same as the rest of the country. The energy shortage is a continuing affair. Fig. 2 shows the increasing trend of energy shortage; even though there was capacity addition during this period. To fulfill the required shortage of power, the state government purchases the peak power at the highest price or overdraws from the grid. The overdrawal from the grid results in paying for the energy in UI rates. This is a heavy burden on the exchequer. The amount of money paid towards UI charges in 2008-09 by the state government is given in table 2. Electric power
The motivation for the DSM initiatives in Karnataka comes from this
Situation of the power in the state.To come out of the prevailing situation in power system the immediate solution available is DSM.
For this work a survey research method was adopted. Here, for the study a questionnaire was used which consisted five sections with open-ended questions. This was tested initially with a pilot study and then it was selected based on the comments, suggestions and responses obtained from the pilot study.
The sample taken represents different economic levels of Gulbarga. It is consisted of 126 households, of which 95 had LT-2 connections and 31 had LT-1 connections. For the purpose of analysis, the statistical techniques of multiple regression analysis, step-wise regression analysis, ANOVA, ratios and proportions, descriptive statistics are used.
In this work three different approaches are considered to study the electricity consumption of endues devices in a household, they are, the engineering approach, the appliance stock approach and the appliance census approach.
Engineering Approach: It is based on sample surveys of variables such as number of appliances, rated power of these appliances and number of hours of usage of these appliances. An engineering estimate of electricity consumption of the end-uses mainly depends on the number of hours of usage of the appliances owned by the households. It may not be a correct estimate as far as statistical significance is concerned. Because this number is obtained from users, which depends mainly on the reliability of a user in recollecting the usage hours.
Appliance Stock Approach: Here the total electricity consumed by a household will depend on the total load (wattage of the appliances owned by the household) accounted by a household.
Appliance Census Approach: It uses regression analysis to determine the contribution of various categories of appliances to the total electricity consumption. This is a more reliable approach as the regression coefficients indicate the marginal change in electricity consumption per unit change in the number of appliances of that particular category. And, if the change is linear, then the regression coefficient is also the average electrical energy consumed through that category of appliances.