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Common Methodology for Effectively Forecasting the Subscriber’s Daily Natural Gas Consumption

机译：有效预测用户日常天然气消耗的常见方法

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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. Energy and utility companies must focus on longer-term goals to ensure appropriate hedging and maximize profitability, but the high-resolution accuracy provided by load forecasting limits the amount of money wasted in the short-term. This requires insight into expected seasonal weather patterns and accurate demand planning and any immediate changes in the approaching weather. This study proposes a common methodology for effectively forecasting daily consumption through the statistical processing of input data, and stochastic optimization methods are applied. The input data are certain indicators of the factors influencing the consumption process. These indicators are sampled in the stochastic process.
机译：切割成本和提高运营效率是能源和公用公司不断努力的东西。 这是一个不断的战斗，工作永远不会完成。 能源和公用事业公司必须专注于长期目标，以确保适当的对冲和最大化盈利能力，但负载预测提供的高分辨率准确性限制了短期内浪费的金额。 这需要深入了解预期的季节性天气模式和准确的需求规划以及接近天气的任何直接变化。 本研究提出了一种通过输入数据的统计处理有效预测日常消费的常见方法，并应用随机优化方法。 输入数据是影响消费过程的因素的某些指标。 这些指标在随机过程中进行采样。

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