电力系统短期负荷预测方法研究

电力系统短期负荷预测方法研究作者：马静波学位授予单位：四川大学参考文献(63条)1.牛东晓.曹树华.赵磊电力系统负荷预测技术及其应用19882.刘晨晖电力系统负荷预报理论与方法19873.张伏生.汪鸿.韩悌.孙晓强.张振宇.曹进基于偏最小二乘回归分析的短期负荷预测[期刊论文]-电网技术2003(3)4.PerryShort-termLoadForecastingUsingMultipleRegressionAnalysis19995.APapalexopoulos.THesterburgAregression-basedapproachtoshort-termloadforecasting1990(04)6.张绍和.黄东惠.杜文广平滑系数优化的季节性指数平滑法1989(02)7.Shyh-JierHuangShort-TermLoadForecastingViaARMAModelIdentificationIncludingNon-GaussianProcessConsiderations2003(02)8.NimaAmjadyShort-TermHourlyLoadForecastingUsingTime-SeriesModelingWithPeakLoadEstimationCapability2001(04)9.IMoghram.SRahmanAnalysisandevaluationoffiveshort-termloadforecastingtechniques198910.KLiuComparisonofVeryShort-TermLoadForecastingTechniques1996(02)11.MTHagan.SMBehrThetimeseriesapproachtoshort-termforecasting1987(03)12.RCampo.PRuizAdaptiveweather-sensitiveshort-termloadforecasting1987(03)13.张俊芳.吴伊昂.吴军基基于灰色理论负荷预测的应用研究[期刊论文]-电力自动化设备2004(5)14.ZekeSH.ChanHWngan.YFFungAnAdvancedEvolutionaryAlgorithmforLoadForecastingwiththeKalmanFilter200015.Al-HamadiHM.SolimanSAShort-termelectricloadforecastingbasedonKalmanfilteringalgorithmwithmovingwindowsweatherandloadmodel2004(68)16.MHuelsemann.MDSeiserShortandultra-shorttermloadforecastbyKalmanfilterandautocorrelation17.AAGirgis.LLee.MJSettlago.E.B.MakramKalmanfilteringtechniquesforon-lineoptimalshort-termforecastingforsubstationandtotalpowersystemload1989(03)18.LLeeOptimalEstimationTechniquesforLoadforecasting198819.AAGirgis.SVaradan.AKE1-DinComparisonofdifferentapproachestoshort-termloadforecasting1995(04)20.JToyoda.MChen.YInouyeAnapplicationofthestateestimationtotheshort-termloadforecasting,PartsⅠandⅡ1970(07)21.PCGupta.KYamadaAdaptiveshort-termforecastingofhourlyloadsusingweatherinformation197222.JwoW-S.LiuC-W.LiuC-CHsiao,Hybridexpertsystemandsimulatedannealingapproachtooptimalreactivepowerplanning1995(04)23.K-LHo.Y-YHsu.C-FChenShorttermload.forecastingofaTaiwanesepowersystemusingaknowledgebasedexpertsystem1990(04)24.Zhenghua.ZhangLiziTheFactorAnalysisofShort-TermLoadForecastBasedonWaveletTransform200225.LiuBinWaveletModelingandForecastingandItsApplicationintheChineseMonetaryMultiplier1999(08)26.ChenHong.CanizaresClaudioA.SinghAjitANN-basedshort-termloadforecastinginelectricitymarkets200127.CharytoniukW.ChenM-SVeryShort-termLoadForecastingUsingArtificialNeualNetworks2000(01)28.Hong-TzerYang.Chao-MingHuangAnewshort-termloadforecastingapproachusingself-organizingfuzzyARMAXmodels1998(01)29.SEPapadakis.JBTeocharis.SJKiartzisAnovelapproachtoshort-termloadforecastingusingfuzzyneuralnetworks1998(02)30.HShaibon.AMohdZin.SRSBakiKalman-fuzzyapplicationtopowersystem(loadforecasting)31.SRSBaki.HSaibon.KLLoKalman-fuzzyneuralalgorithminshorttermloadforecasting,IntelligentSystemsandSoftComputingforNuclearScienceandIndustry32.TongxinZheng.AdlyAGirgis.ElhamBMakramAhybridwavelet-Kalmanfiltermethodforloadforecasting200033.杨争林.宋燕敏.曹荣章.孙维真.吴劲晖超短期负荷预测在发电市场中的应用[期刊论文]-电力系统自动化2000(11)34.杨芳.张宏伟.刘洪波城市供水负荷短期预测方法[期刊论文]-天津大学学报(自然科学与工程技术版)2002(2)35.焦文玲.赵林波.秦裕琨城市燃气负荷非平稳时序预测模型的研究[期刊论文]-煤气与热力2003(8)36.焦文玲.金佳宾.廉乐明.严铭卿时间序列分析在城市天然气短期负荷预测中的应用[期刊论文]-哈尔滨建筑大学学报2001(4)37.C查特菲尔德时间序列分析导论198638.BoxGEP.JenkinsGMTimeSeriesAnalysisForecastingandcontrol197639.夏安邦动态相关分析法运用于回归分析1984(2～3)40.唐小我预测理论及其应用199241.韩志刚多层递阶方法及其应用198942.谢如贤.吴健中变权重组合预测模型的建立于应用1992(04)43.MeadeNForecastingusinggrowthcurves-anadaptiveapproach1985(12)44.曾勇.唐小我几种增长曲线模型的分析--兼谈增长趋势预测1992(05)45.KalmanREANewApproachtoLinearfilteringandPredictionTheory196046.ZarchanPTacticalandStrategicMissileGuidance199447.胡恒章自校正卡尔曼滤波及其在组合导航中的应用1994(04)48.许明.刘建业.袁信自适应卡尔曼滤波在惯导初始对准中的应用研究[期刊论文]-中国惯性技术学报1999(3)49.MohamedAH.SchwarzKPAdaptivekalmanFilteringforINS/GPS1999(04)50.DenaroRP.LoomisPVWGPSNavigationProcessingandKalmanFiltering1989(161)51.WellsCTheKalmanFilterinFinance199552.DenisMcGonigal.DanIonescuAnOutlineforaKalmanFilterandRecursiveParameterEstimationApproachAppliedtoStockMarketForecasting53.LiuXiaoyun.ZhangXiaolingApplicationofKalmanFilterinAgriculturalEconomicForecasting199654.王井泉.李致家卡尔曼半自适应滤波水位实时预报模型研究[期刊论文]-人民长江2000(1)55.张民.鲍海.晏玲.曹津平.杜剑光基于卡尔曼滤波的短期负荷预测方法的研究[期刊论文]-电网技术2003(10)56.李明干.孙健利.刘沛基于卡尔曼滤波的电力系统短期负荷预测[期刊论文]-继电器2004(4)57.AstromKJLecturesontheIdentificationProblem---TheLeastSquaresMethod196858.AkaikeHANewLookattheStatisticalModelIdentification1974(06)59.RamanKMeharOntheIdentificationofVariancesandAdaptiveKalmanFiltering1970(02)60.李洪心.易允文随机系统辨识在电力系统负荷预报中的应用1985(03)61.邓自立噪声统计的在线辨识和自适应卡尔曼滤波1981(01)62.XiaQ.RaoandM.YingYAdaptiveFadingKalmanFilterwithanApplications1994(12)63.库索夫可夫控制系统的最优滤波和辨识方法1984相似文献(10条)1.期刊论文王武.张元敏.蔡子亮.WANGWu.ZHANGYuan-min.CAIZi-liang基于遗传优化神经网络的电力系统短期负荷预测-继电器2008,36(9)电力系统短期负荷预测是电力系统运行管理和实时控制所必须的基本内容,预测结果的准确性对电力系统的安全、优质,经济运行具有重要意义.通过非参数预测法建立电力系统短期负荷预测模型,以此作为Elman神经网络训练的样本集,实现网络样本设计,结构设计与网络训练,充分发挥Elman神经网络动态特性,将改进的遗传算法和Elman神经网络相结合,通过选择,交叉、变异等遗传操作,实现了神经网络权值优化.采用基于遗传优化神经网络的电力系统短期负荷预测新算法,提高了负荷预报精度,具体算例证明了算法的可行性和有效性.2.学位论文关颖支持向量机在电力系统短期负荷预测中的应用2006电力系统短期负荷预测是电力系统安全和经济运行的重要依据.价格竞争机制引入电力系统形成电力市场后,对短期负荷预测的精度和速度提出了更高的要求.虽然负荷预测的研究己有几十年历史,有很多负荷预测的理论和方法,但是随着新理论和新技术的发展,对负荷预测新方法的研究仍在不断地深入进行.支持向量机作为数据挖