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The correct schedule, planning and operation of power system has a tight correlation between accurate load forecast. Aims at the variant feature of power system short-term load, the author took a widely study and discussion on the method of artificial neural network applied on power system short-term load forecasting. At the base of three layered BP neural network, the author studied the meteorological...
Artificial-neural-network (ANN) technology has excellent ability of non-linear mapping, generalization, self-organization and self-learning, so ANN technology has been proved to be successful and widespread utility in engineering. Scientists of all fields have interested for its developments, and applied this technology to solve many petroleum-engineering problems. BP network is one of the most widely...
It is a trouble thing to build theoretical model for stir characteristics of screw axis with variable diameters and different pitches, so a called PSO-BP neural network (NN) model was employed. In this mode, particle swarm optimization (PSO) algorithm is used to train weights and thresholds of artificial neural network instead of BP algorithm, to overcome drawbacks of BP algorithm. To avoid the slow...
Now the online monitor and diagnose of capacitive equipments still remains in a simple data processing level. The level of application of diagnosis and monitoring will be improved if advanced mathematical tools for analysis used in it. The paper introduces a new methods of using the BP neural network to predict the dielectric loss angle. Selecting inputs, outputs and parameters of the BP neural network...
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