结果是令人赞叹的：实际能源消耗比预测减少了65%，同时内部温度一直稳定在最适宜的范围内。
The results were impressive: actual energy consumption was 65% less than predicted, with internal temperatures remaining stable within the optimum range.
因为您不知道这些代理可以做什么、它们打算隔多久运行一次或者多少用户在运行它，所以无法预测它们消耗哪些资源。
Because you have no idea what these agents can do, how often they intend to run, or how many users run them, there is no way to project which resources they consume.
对此实现仪表化可以轻松地跟踪长期趋势并更准确地预测库存消耗和产量。
All of this instrumentation also makes it easy to track long-term trends and make more accurate predictions on stock consumption and throughput.
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