本文提出了一种新的中长期电力负荷预测方法。
This paper introduces a new method of the middle or long term electric load.
把模糊聚类法应用在中长期电力负荷预测中，并在某城市的城网改造中，应用该方法预测未来十年内的年用电量。
This paper introduces the fuzzy clustering algorithm in the power distribution system planning of the city, and an application using it to forecast the total load of every year of the city.
最后采用我国某省年用电量的预测的算例表明该方法的预测精度优于单一的灰色预测和单一的神经网络预测方法，为电力系统长期负荷预测提供了一种有用的方法。
Case study shows that this method is more accurate and faster than single grey prediction and single neural network method. It is a useful method for long term load forecasting.
因此，提高中长期电力负荷预测精度，对于保障电网安全、经济、优质运行具有重要意义。
Therefore, raising the precision of the medium arid long term power load forecast is of great significance to ensure security, economy and the excellent operation of power grids.
准确的中长期负荷预测能够提高电力系统的经济效益和社会效益。
Accurate mid-long term load forecasting can improve the economic and social benefits of power system.
电力系统负荷预测可分为长期、中期和短期负荷预测。
It provides the veracity basis for the electric power system short-term on load estimation.
针对中长期电力负荷预测特点，提出了一种基于AHP(层次分析法)的中长期电力负荷预测综合模型。
Aiming at the features of medium and long-term load forecasting, a comprehensive model for medium and long-term load forecasting based on Analytic Hierarchy Process (AHP) was put forward.
针对中长期电力负荷预测特点，提出了一种基于AHP(层次分析法)的中长期电力负荷预测综合模型。
Aiming at the features of medium and long-term load forecasting, a comprehensive model for medium and long-term load forecasting based on Analytic Hierarchy Process (AHP) was put forward.
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