THE CONSTRUCTION OF FACTOR ANALYSIS AND EVALUATION SYSTEM FOR ENERGY AND ENVIRONMENTAL PROTECTION IN THE UNITED STATES AND THE FORECAST OF ENERGY USE

Energy has played an important role in the development of economy and society, security of which has become a focusing issue. As a major energy consumer, the energy profile and development of the United States have a significant impact on the world energy pattern. In this article, a series of mathematical models were built to explore the energy profiles in California, Texas, New Mexico, and Arizona in U.S. First, we collected data from the U.S. Energy Information Administration and obtained data of energy production and consumption in four U.S. states from 1970 to 2009. Furthermore, the factor analysis model is established to describe the evolution of energy profile over time. We screened the data, removed the incomplete data from 1970-1969, and constructed the index system for factor analysis. Population, economy, technology and environment were selected as four important influencing factors. The score of each factor was calculated by Matrix Laboratory to get the annual total energy profile of each state. A comprehensive score can be drawn for the annual cleaner, renewable energy sources in each state in the same way. Finally, in this paper, we use energy total consumption to characterize energy profiles. Back propagation (BP) neural network model was established, and the total energy consumption data from 1970 to 2009 was used to train the network, so as to predict the energy use in 2050. By the same token, the use of cleaner, renewable energy resource in 2050 can be predicted.