Chapter 5 - Assessment of solar energy system by probability and sampling distribution

Abstract

Data science is built on the foundations of probability and statistics. Probability theory is quite useful in formulating predictions. Data science relies heavily on estimates and projections. We make estimations for further examination with the use of statistical approaches. As a result, statistical approaches are heavily reliant on probability theory and data is the foundation of all probability and statistics. This chapter describes assessment of solar energy system by probability and sampling distribution. The evaluation of solar energy parameters is done through the discrete, continuous, binomial, poisson and hypergeometric distribution process. In this chapter, different types of sampling technique are also used for the assessment of solar energy parameters. This chapter ends with the utilization of Weibull distribution in the field of solar energy system.