Analysis of Curve Fitting for Case Studies for Indian Power Sector

Author:

Narkhede Rajkumar P,Rastogi Prabha

Abstract

Abstract The requirements for Indian electrical power sector is always a challenging task in terms of predication of units of generation of electrical units, load factor (central, state and private ) for the power plants, peak demand, peak demand meet and peak demand shortage. The historical data from 1997 to 2018 are used for the analysis. The straight line function and polynomial functions used for the analysis of the data to predict the future. The paper outlines appropriates of the both model in context with the Indian power sector. Further, provide the opportunity to understand the regression coefficient as test condition for the model. The regression coefficients are evaluated for load factor such as 0.9448, 0.9659 and 0.9566 for central, state and private. While regression coefficients for the peak demand and peak demand meet are fairly closer to one. However, the model data values are evaluated and the minimum error in the peak demand is 44% and for peak demand meet is 274 % while maximum deviation in peak demand is 107 and fr peak demand meet is 743%.

Publisher

IOP Publishing

Subject

General Medicine

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