分类与综合是解决负荷时变性问题的有效途径，是负荷建模实用化的关键。
The classification and synthesis are the effective ways to solve the time-varying problem in electrical load, as well as the key link in load modeling utilization.
利用神经网络的非线性映射能力，能很好地解决负荷协调控制对象的动态特性具有非线性、时变性、参数可变等问题。
The coordinated control system has dynamic characteristic of nonlinear, varying parameter. Utilizing nonlinear mapping-capability of neural network solves these problems well.
从负荷的时变性出发，应用数据库进行各种查询、调用，用实测数据分析负荷特性与时间的关系。
With kinds of querying and calling the real load parameters in database, it is helpful to analyze the relation of load characteristics and time.
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