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Based on wind speed sequences, three-layer neural network model of wind speed prediction is analyzed to obtain the selecting method of neural network input, output and hidden layers' node parameters, and to predict wind speed through rolling wind speed data. In accord with the nonlinear of wind speed sequences, a BP neural network model is established to forecast wind speed. The feasibility and validity...
The photovoltaic (PV) system design of a balance of system includes design of a solar module, a battery, an inverter and a charge controller. The study of electrical response of a solar module is important, since it decides the key design parameters. This paper presents an overview and comparative study of electrical response of few existing PV models. A more reliable and accurate model for predicting...
Aming at the problem of Hybrid Electric Vehicle(HEV) control strategy being sensitive to the road situation, a model predictive control strategy was designed with length information of the drive mission from a global positioning system(GPS) to improve the Robustness against the road situation based on a Matlab/Simulink vehicle dynamic model for series-parallel plug-in HEV. In this paper, a blended...
In order to improve the accuracy of traffic forecasts, it's important to apply the supporting vector regression in prediction of network traffic. This paper introduced key factors in supporting vector-machine regression modeling, and this model is applied to calculate the actual network traffic prediction, which compared with the BP neural network model. The results showed that supporting vector-machine...
In order to find out the quantitative relationship between the change of land use and ecosystem service in the future, an Ecosystem Service Value-Markov model (ESV-Markov model) is developed and evaluated. Based on the model, the values of ecosystem services of the land use in Wuhan from 2009 to 2019 are predicted. In summary, the model can finely reflect the change of quantitative relationship between...
In order to accurately analyze the trend of health state variation of aero-generator, a grey prediction model based on genetic algorithm is presented in this paper. Then use the original grey model and the optimized grey model respectively to carry out health state trend analysis of the aero-generator. On this basis, the two models were used to study aero-generator health trends, and compared with...
As for the textile printing and dyeing industry being difficulty to be realized on-line real-time monitoring wastewater treatment, a kind of adjustable linear combination of combined kernel function support vector machine modeling way was put forward. The "acid fuchsine decolorization rate" modeling simulation research, which made in the process of printing and dyeing wastewater treatment,...
In the accelerated modernization, China confronts with the serious challenges including population explosion, water pollution, though the Chinese water resource is ample. The scientific and reasonable prediction of water resource requirement is essential for the environment protection and continually development. After analysis the use of a serial of artificial neural networks for the water resource...
With the emergence of energy crisis and environmental pollution, the large scale photovoltaic power systems have been widely applied. However, the output power of photovoltaic power system has the property of uncertainties. In order to lighten the adverse influence for power grid, this paper attempts a method based on Grey combination model to forecast the short-term power output of a PV power system...
This paper is the result of a US National Science Foundation funded conference, titled “PASI 2010: Energy, Water, and Global Climate Change as a Regional Agenda of the Americas”, which took place in the summer of 2010. Distinguished faculty and scientists from a diverse range of backgrounds came together to discuss the importance of linking energy, water and climate change on a number of social, political...
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