Alternative Energy Exploitation of Agricultural Biomass Using SPSS Statistics

Abstract

Alternative Energy Exploitation, Introduction: Renewable energy is created from resources which can be recovered in a reasonable length of time. Sunlight, wind, water, bio fuels, and geothermal energy are all examples of renewable energy sources. Renewable is a subset of sources that, while connected to renewable energy, has the best impact on the planet. Nuclear energy and renewable energy sources are two instances of renewable sources of energy with low carbon emissions. Electricity and heat have been generated from sources of clean energy for the majority of human history. Certain semi-empirical source models and different parametric source models are used to model individual noise components. Renewable fuel comes from sources other than fossil fuels, and as a result, it emits little or no greenhouse emissions like dioxide (CO2). As a result, energy generated from non-traditional sources doesn't really help produce the greenhouse effect which is responsible for climate change. SPSS statistics is a data management, advanced analytics, multivariate analytics, business intelligence, and criminal investigation developed by IBM for a statistical software package. A long time, spa inc. was created by, IBM purchased it in 2009. The brand name for the most recent versions is IBM SPSS statistics. Energy Demand Module, Resupply module, Scenarios module, Multicricriteria analysis module, Conflict analysis module The result of Cronbach's Alpha Reliability. The model's total Cronbach's Alpha value is.486 and suggests a 48% dependability level. The 52% Cronbach's Alpha are shown can be used for analysis based on the literature review. the outcome of Cronbach's Alpha Reliability. The model's total Cronbach's Alpha score is .486, which denotes a 48% dependability level. The 52% Cronbach's Alpha value model mentioned above from the literature review may be used for analysis.