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Short-Term and Medium-Term Load Forecasting for Jordan's Power System | Science Publications

机译：约旦电力系统的短期和中期负荷预测| Business Wire科学出版物

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> Several electric power companies are now forecasting electric loads based on conventional methods. However, since the relationship between loads and factors influencing these loads is nonlinear, it is difficult to identify its nonlinearity by using conventional methods. Most of papers deal with 24-h-ahead load forecasting or next day peak load forecasting. These methods forecast the demand power by using forecasted temperature as forecast information. But, when the temperature curves change rapidly on the forecast day, loads change greatly and forecast error would be going to increase. Typically, load forecasting can be long-term, medium-term, short-term or very short-term. This paper concentrates on short-term load forecasting and partially on medium-term load forecasting applying regression models.
机译： >现在有多家电力公司正在基于常规方法来预测电力负荷。然而，由于载荷与影响这些载荷的因素之间的关系是非线性的，因此难以通过使用常规方法来识别其非线性。大多数论文都涉及24小时提前负荷预测或次日高峰负荷预测。这些方法通过使用预测温度作为预测信息来预测需求功率。但是，当温度曲线在预测日快速变化时，负荷将发生很大变化，并且预测误差将增加。通常，负荷预测可以是长期的，中期的，短期的或非常短期的。本文着重于短期负荷预测，部分应用回归模型进行中期负荷预测。

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