An analysis of statistical distributions of energy requirement in western part of India

Energy requirement forecast is necessary for arriving at suitable policies for energy management, which is a recognized concern all over the world. This work proposes to examine the energy data from a statistical perspective before going for detailed analysis such as long term forecasting. The realities of energy requirements in the western part of India is considered as a case study taking into account the recorded data of the energy requirements of five States for a period of 12 years (2008-2019). We have considered various probability distributions for fitting the energy requirement data. For fitting the distributions, we have used three different statistical tests namely, the Kolmogorov-Smirnov measure, the Anderson Darling measure, and the Chi-squared goodness of fit measure, using appropriate statistical software. Based on these tests, we could find the appropriate probability distribution of the energy requirements of each of the States for planning future renewable energy focus points. This research is expected to help engineers model energy demand using renewable energy sources such as water resources, wind, and solar. (c) 2022 Elsevier Ltd. All rights reserved.