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首页> 外文会议>International Conference on High Technology for Sustainable Development >Comparative Post-Optimal Analysis to Effectively Forecasting the Subscriber's Daily Natural Gas Consumption
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Comparative Post-Optimal Analysis to Effectively Forecasting the Subscriber's Daily Natural Gas Consumption

机译：最优后比较分析，可有效预测用户的每日天然气消费量

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Although there are developments to predict energy consumption, the topic has not been exhausted and remains relevant. It should also be noted that each author uses the power of models differently to interpret inputs and outputs and their effects on the consumption process. Cutting costs and improving operational efficiency is something that energy and utility companies are continually working towards. It’s a constant battle, and the work is never complete. This study offers a comparative post-optimal analysis to effectively predict daily consumption through statistical processing of input data and methods of stochastic optimization are applied. Input data are defined indicators of factors affecting the consumption process. These indicators are sampled in the stochastic process.
机译：尽管有预测能源消耗的进展，但该主题尚未穷尽，仍然具有现实意义。还应该指出的是，每位作者都以不同的方式使用模型的能力来解释投入和产出及其对消费过程的影响。削减成本和提高运营效率是能源和公用事业公司不断努力的目标。这是一场持续不断的战斗，工作从未完成。这项研究提供了一个比较优化的后分析，可以通过对输入数据进行统计处理来有效地预测每日消费量，并采用随机优化方法。输入数据是影响消费过程的因素的明确指标。这些指标是在随机过程中抽样的。

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