A New Energy Contract For States Along The Border Between The US And Mexico

Zidong Zhou

School of Civil Engineering, Chongqing Jiaotong University, Chongqing, China

Abstract: The production and use of energy are an important part of any economy. Four states along the border between the United States and Mexico have formed a new energy contract in order to increase the use of clean and renewable energy. We conducted a study to find new and more realistic energy profile targets for the new contract. First, we classify the logarithm according to the classification of energy, summarizing the energy profile by state, and give an overview of 2009 (Figure 1, 3). At the same time, we choose the average price of renewable energy, share of clean electricity, share of oil and coal and electricity consumption loss rate as the guideline levels. Based on the AHP model of the optimal allocation of clean energy, it is concluded that the configuration of clean energy in California is the best. Second, we fit each energy evolution of each state from the year of 1964 to 2009 by MATLAB, and then formulate the function expression with the guaranteed rate up to 95%, finding out the corresponding parameters of each energy evolution. At the same time, we analyze the similarities and differences between the state and the icon. Third, we identify and remove the abnormal data to find out the degree of dissimilarity in each energy development trend, that is to say, carrying out the correlation analysis, and then generate the raw data to find the law of energy changes and generate more. While, a corresponding differential equation model is established. The gray forecast model is used to predict the energy profile in the year of 2025 and 2050 (Table 4-10), and the prediction results are analyzed. Fourth, we find through Model 2 that California remains the most energy-prone state in 2025 and 2050 projections, with all its policies intact. Therefore, we use the energy profile of California in 2025 as the evaluation index and energy profile of the four states' energy contracts and quantify them as the proportion of renewable energy to total energy consumption, which is the sum of the predicted values of total renewable energy consumption and total Compare the predicted values of energy consumption and then calculate the ratio. We use this percentage as a target for the new energy continent of Four Continents and give the direction of the adjustment of the respective state government policies according to the different situations in each state. Finally after the sensitivity test, our model has a higher sensitivity and higher guaranteed rate, the problem has a high degree of credibility.

Keywords: Energy configuration application of MATLAB; Analytic hierarchy model; Grey forecast model; Clean energy; Best configuration