基于元胞自動機的空間負荷預測.pdf

1、華北電力大學（北京）碩士學位論文基于元胞自動機的空間負荷預測姓名：張文彬申請學位級別：碩士專業(yè)：計算機科學與技術(shù)；計算機系統(tǒng)結(jié)構(gòu)指導教師：趙強201203華北電力大學碩士學位論文AbstractThispaperdeeplystudiestheapplicationofRoughSetandCellularAutomatainspatialloadforecastingItisdiscoVeredthatusingRoughSetint

2、heextractionofCellularAutomatatransf0瑚ationrules，thou曲，c鋤extractthetransfomationnllesfromaspatialdatabasewhichisincoInplete，uncertainandwithin也epresenceofnoise，itisaproblemofrelatiVelypoorfaulttoleranceandAntijaIr吼ingcap

3、abilitySo，NeuralNetworkwimgoodAntijammingcapabilityaIldgencr碰zationabmtyisintroducedtocompensatefortlledeficicncyofRou醢SetaIldimprovetheconVe唱encespeedaIldaccuracyofex饑Lctingthetr舳sfo邢ationmleSofCellularAutomataBasedontl

4、lis，thispapefproposesanewspatialloadforecastingmodalrel姐ngonNeuralNetworkaswenasCellularAutomataItalsospecificallydescfibesitsoVeralldesignsch鋤eandspecificmodelingstepsThen，focusingonastlldyarea，wedospatial10ad如recasting

5、wimtllisnewmodal趾damodalbaSedonCellularAutomataandRougllSetrespeCtiVelyAccordingtothecomp撕sonoftwesults，itdemonstratesthisnewmodalproposedinthispaperhasahi曲eraccuracyInmeend，basedonthisnewmodalandtheactualsituationandfhn

6、ctionalrequirementsofthestudyarea，weclassi母t11emodulesofspatialloadforecastsystem，analyzeandexplainspecificallyeachmodalusingthemethodofsoRwareengineeringThenundertheNETdevelopmentenvironmentwedevelopandimplementaspatial

7、loadforecastsystemwimArcObjectscomponentsanddothespatial10adforecastandtotalloadforecastofthestudyareausingthissystemComp撕ngtheforecastresultswiththeactIlaldata，itisfoundthattheresultsarebasicallyidenticaltotheactualsitu