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Rapid and accurate load forecasting is vital for renewable yet highly stochastic power (such as wind and solar power) to be massively utilized in practice. The model-based forecasting algorithms are derived from the specific load models. This paper proposes a new approach for load forecasting in power systems by using trajectory tracking stability theory. And based upon Lyapunov stability theory,...
Back-propagation neural network model was developed to predict the coal and gas outburst. After trained, the artificial neural network model was used to predict the coal and gas outburst of several samples. Moreover, ANN model was also used to analyse the quantitative effects of influencing factors on the coal and gas outburst. The prediction performance of ANN model is satisfactory. The prediction...
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