Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative studyLoad forecastingRegressionNeural networksForward selectionLoad forecasting remains a challenging problem in power system operation due to growth in low carbon technologies and distributed small ...
2.The simulation results show that the orthogonal decomposition feature expansion based process neural networks is supprior to time-domain feture expansion based proscess neural networks in training speed,veracity in prediction,and more suitable for the application of electric load forecasting.结果表明,基...
2. Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques [J] . Kaigui Xie, Pan Duan, Tingting Guo, Energies . 2011,第1期 机译:使用PSO-SVR和FCM聚类技术的电力系统短期负荷预测 3. A Hybrid Double Forecasting System of Short Term Power Lo...
aPores are less visible, skin texture is refined, your skin looks radiant and healthy. 毛孔是较不可看见的,皮肤纹理被提炼,您的皮肤看起来光芒四射和健康。[translate] aMicrotemp Thermal Fuse Microtemp热量保险丝[translate] aLoad Forecasting for Jordan's Power System[translate]...
theory —GS IMEJ ] .International Journal of Electrical Power E n ergy Syst ems ,2 0 0 1 ,2 3 ( 7 ) :5 4 9 — 5 5 6 . [ 13] SONG KB ,HA s K ,PARK J w .Hybrid load forecasting method with analysis of temperature sensitivities[ J ] .IEE E T ran s P ow er S ...
Liu Z., Sun W., Zeng J., A new short-term load forecasting method of power system based on EEMD and SS-PSO Neural Computing and Applications 2014 Volume 24 Issue 3-4 pp.973 983Liu, Z.G.; Sun, W.L.; Zeng, J.J. A new short-term load forecasting method of power system based ...
来源会议 International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering 研究点推荐 Decision support system load forecasting power consumption Bayesian networks power systems 站内活动 0关于我们 百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研...
Short-Term Load Forecasting Based on an Adaptive Hybrid Method This paper aims to develop a load forecasting method for short-term load forecasting, based on an adaptive two-stage hybrid network with self-organized map... S Fan,L Chen - 《IEEE Transactions on Power Systems》 被引量: 490...
aAccurate forecasting of power system short –term load has been one of the most important issues in the electricity industry. And the forecasting accuracy is influenced by many unpredicted factors. Because of the non-linear features of short–term power load, the paper uses support vector machine...
In this paper, a new combination prediction approach was proposed and applied to improve the middle-term electric load forecasting precision. Firstly, the load sequences were decomposed into a limited number of load sub-temporal sequences with different characteristics, which avoids the large computing...