The ability to predict accurately the short-term demand on a power system is important to its optimal operation. We have studied half-hourly controlled demand data, covering a six-month period, with the aim of predicting morning and evening peak demands, both of which do not always occur at...
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...
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...
This paper presents a combinative method of power system load forecasting based on quantum behavior particle swarm optimization and chaotic neural network. Based on the quantum behavioral characteristics of the particle swarm,and using the identical particle system to update the particle's position,the ...
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 ...
电力专业英语12-load forecasting LoadForecasting 电气工程学院 2013年5月1日9时59分 LoadForecasting •Forecastingmeansestimatingactiveloadatvariousloadbusesaheadofactualloadoccurrence.•Agoodforecastreflectingcurrentandfuturetrends,temperedwithgoodjudgment,isthekeytoallplanning,indeedtofinancialsuccess.Theaccuracyofa...
Accurate and effective power system load forecasting is an important prerequisite for the safe and stable operation of the power grid and the normal produc... J Mo,R Wang,M Cao,... - 《Complex & Intelligent Systems》 被引量: 0发表: 2022年 Total and thermal load forecasting in residential...
Power system short-term load forecasting 来自 tubiblio.ulb.tu-darmstadt.de 喜欢 0 阅读量: 22 作者: J Yang 摘要: The statistics learning method of SVM ( Support Vector Machines ) is introduced to short-term load forecast of power system.Sample data is constituted by filtering the ...
power distribution load forecasting by neural networks[ J ] . E n ergy C onversion and M anag ement ,2 0 0 5 ,4 6 ( 9 1 0 ) :13 9 3 — 1 4 0 5 . r 5] BA HMA N K ER MA N S HA HI ,HIRo S HI IW A MIYA .U p to ...
Based on the research work of scholars at home and aboard,the paper summarize currentsituation of BP neural network genetic algorithm in the power system load forecasting,and the comprehensive application of the two methods in this field.Then we have the quantitative analysis and forecasting to the...