| Demand Forecast | |||||
| Point | Forecast | 95% LB | 80% LB | 80% UB | 95% UB |
| 51 | 1768.27401478368 | 803.140886756873 | 1137.20738246902 | 2399.34064709834 | 2733.40714281049 |
| 52 | 1768.27401478368 | 798.327225334404 | 1134.05989844349 | 2402.48813112388 | 2738.22080423296 |
| 53 | 1768.27401478368 | 793.537335515322 | 1130.92795783394 | 2405.62007173343 | 2743.01069405204 |
| 54 | 1768.27401478368 | 788.770868561446 | 1127.81133261274 | 2408.73669695463 | 2747.77716100592 |
| 55 | 1768.27401478368 | 784.027484178973 | 1124.70980027373 | 2411.83822929363 | 2752.52054538839 |
| 56 | 1768.27401478368 | 779.306850234952 | 1121.62314364686 | 2414.92488592051 | 2757.24117933241 |
| 57 | 1768.27401478368 | 774.608642485894 | 1118.55115072068 | 2417.99687884668 | 2761.93938708147 |
| 58 | 1768.27401478368 | 769.932544317864 | 1115.49361447249 | 2421.05441509487 | 2766.6154852495 |
| 59 | 1768.27401478368 | 765.278246497495 | 1112.45033270545 | 2424.09769686191 | 2771.26978306987 |
| 60 | 1768.27401478368 | 760.645446933332 | 1109.42110789258 | 2427.12692167479 | 2775.90258263403 |
| Actuals and Interpolation | ||
| Time | Actual | Forecast |
| 1 | 1216.67 | NA |
| 2 | 1186.17 | 1216.67 |
| 3 | 1217.475 | 1213.62 |
| 4 | 1096.95 | 1214.0055 |
| 5 | 1685.6 | 1202.29995 |
| 6 | 1758.5 | 1250.629955 |
| 7 | 1786.6 | 1301.4169595 |
| 8 | 2049.895 | 1349.93526355 |
| 9 | 1845.895 | 1419.931237195 |
| 10 | 2015.02 | 1462.5276134755 |
| 11 | 1609.63 | 1517.77685212795 |
| 12 | 918.725 | 1526.96216691516 |
| 13 | 1240.96 | 1466.13845022364 |
| 14 | 1671.785 | 1443.62060520128 |
| 15 | 2451.83 | 1466.43704468115 |
| 16 | 1886.14 | 1564.97634021303 |
| 17 | 2110.66 | 1597.09270619173 |
| 18 | 1856.87 | 1648.44943557256 |
| 19 | 1775.765 | 1669.29149201530 |
| 20 | 1569.625 | 1679.93884281377 |
| 21 | 1835.69 | 1668.90745853239 |
| 22 | 2041.46 | 1685.58571267915 |
| 23 | 1667.035 | 1721.17314141124 |
| 24 | 948.25 | 1715.75932727012 |
| 25 | 1365.66 | 1639.00839454310 |
| 26 | 1681.025 | 1611.67355508879 |
| 27 | 1661.9 | 1618.60869957991 |
| 28 | 2194.88 | 1622.93782962192 |
| 29 | 2051.025 | 1680.13204665973 |
| 30 | 2365.845 | 1717.22134199376 |
| 31 | 2398.5 | 1782.08370779438 |
| 32 | 2181.85 | 1843.72533701494 |
| 33 | 2626.77 | 1877.53780331345 |
| 34 | 2529.72 | 1952.46102298210 |
| 35 | 1700.3 | 2010.18692068389 |
| 36 | 605.38 | 1979.19822861550 |
| 37 | 1200.495 | 1841.81640575395 |
| 38 | 1597.02 | 1777.68426517856 |
| 39 | 1174.955 | 1759.61783866070 |
| 40 | 1612.88 | 1701.15155479463 |
| 41 | 1683.55 | 1692.32439931517 |
| 42 | 2260.955 | 1691.44695938365 |
| 43 | 2455.335 | 1748.39776344529 |
| 44 | 2365.62 | 1819.09148710076 |
| 45 | 2417.755 | 1873.74433839068 |
| 46 | 2308.785 | 1928.14540455161 |
| 47 | 1629.94 | 1966.20936409645 |
| 48 | 1053.275 | 1932.58242768681 |
| 49 | 1330.235 | 1844.65168491813 |
| 50 | 1543.85 | 1793.21001642631 |
| What is next? |
| Simulate Time Series |
| Generate Forecasts |
| Forecast Analysis |
