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获奖等级特等奖,并授予INFORMS奖
棰樼洰锛欻ow Much Gas Should I Buy This Week?
棰樼洰鏉ユ簮锛 2012 骞寸鍗佷簲灞婄編鍥介珮涓敓鏁板寤烘ā绔炶禌 锛圚iMCM 锛塀 棰
鑾峰绛夌骇锛氱壒绛夊锛屽苟鎺堜簣INFORMS 濂
璁烘枃浣滆€咃細娣卞湷涓2014 灞婃瘯涓氱敓 鏉庝緷鐞涖€佺帇鍠嗘矝銆佹灄妗傚叴銆佹潕鍗撳皵
鎸囧鑰佸笀锛氭繁鍦充腑瀛 寮犳枃娑
Abstract
Gasoline is the bleed that surges incessantly within the muscular ground of city;
gasoline is the feast that lures the appetite of drivers. 鈥淭o fill or not fill?鈥 That is the
question flustering thousands of car owners. This paper will guide you to predict the
gasoline prices of the coming week with the currently available data with respect to
swift changes of oil prices. Do you hold any interest in what pattern of filling up the
gas tank can lead to a lower cost in total?
By applying the Time series analysis method, this paper infers the price in the
imminent week. Furthermore, we innovatively utilize the average prices of the
continuous two weeks to predict the next two week鈥檚 average price; similarly, employ
the four-week-long average prices to forecast the average price of four weeks later. By
adopting the data obtained from 2011and the comparison in different aspects, we can
obtain the gas price prediction model 锛
饊€ = 0.0398 + 1.6002肀 +鈭?.7842肀 +0.1207肀 + 0.4147肀 鈭
肀 +1 肀 肀 鈭? 肀 鈭? 肀
0.5107肀旐薄 鈭?+0.1703肀旐薄 鈭? + 饊寑 .
This predicted result of 2012 according to this model is fairly ideal. Based on the
prediction model,We also establish the model for how to fill gasoline. With these
models, we had calculated the lowest cost of filling up in 2012 when traveling 100
miles a week is 637.24 dollars with the help of MATLAB, while the lowest cost when
traveling 200 miles a week is 1283.5 dollars. These two values are very close to the
ideal value of cost on the basis of the historical figure, which are 635.24 dollars and
1253.5 dollars respectively. Also, we have come up with the scheme of gas fulfil
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