作者: Reza Nadimi , Koji Tokimatsu
DOI: 10.1007/978-981-13-1196-3_22
关键词:
摘要: Excessive usage of fossil fuels, which contain large hydrocarbons, worsens global warming, public health, and ecosystems. The rate environmental degradation greenhouse gas emissions is decelerated by switching from fuels into renewables. This research applies time series method to estimate the electric power consumption 112 countries. Then, a stochastic substitution model introduced contribution renewables in generation. main part relies on Bayesian inference pseudo random number generators (PRNGs) update statistical distribution model. results four types models emphasize investment as way accelerate environment preservation.