简介:摘要:欠费问题一直困扰着供电企业,特别是对于一些面临破产的欠费大户,企业面临较大的经营风险,遭受经济损失的隐患较大。对于电费回收工作中最重要的法律依据是供电企业与客户签订的《供用电合同》。为此供电企业应强化《供用电合同》的签订和履约执行过程
简介:SincethelastInternationalUnionofGeodesyandGeophysicsGeneralAssembly(2003),predictabilitystudiesinChinahavemadesignificantprogress.Fordynamicforecasts,twonovelapproachesofconditionalnonlinearoptimalperturbationandnonlinearlocalLyapunovexponentswereproposedtocopewiththepredictabilityproblemsofweatherandclimate,whicharesuperiortothecorrespondinglineartheory.Apossiblemechanismforthe'springpredictabilitybarrier'phenomenonfortheElNi(?)o-SouthernOscillation(ENSO)wasprovidedbasedonatheoreticalmodel.ToimprovetheforecastskillofanintermediatecoupledENSOmodel,anewinitializationschemewasdeveloped,anditsapplicabilitywasillustratedbyhindcastexperiments.Usingthereconstructionphasespacetheoryandthespatio-temporalseriespredictivemethod,Chinesescientistsalsoproposedanewapproachtoimprovedynamicalextendedrange(monthly)predictionandsuccessfullyappliedittothemonthly-scalepredictabilityofshort-termclimatevariations.Instatisticalforecasts,itwasfoundthattheeffectsofseasurfacetemperatureonprecipitationinChinahaveobviousspatialandtemporaldistributionfeatures,andthatsummerprecipitationpatternsovereastChinaarecloselyrelatedtothenorthernatmosphericcirculation.Forensembleforecasts,anewinitialperturbationmethodwasusedtoforecastheavyraininGuangdongandFujianProvinceson8June1998.Additionally,theensembleforecastapproachwasalsousedforthepredictionofatropicaltyphoons.Anewdownscalingmodelconsistingofdynamicalandstatisticalmethodswasprovidedtoimprovethepredictionofthemonthlymeanprecipitation.Thisnewdownsealingmodelshowedarelativelyhigherscorethantheissuedoperationalforecast.
简介:摘要:电价是电力市场中的经济杠杆,其实时波动可有效调节电力供需,是保障电力平衡的有力措施。电力营销中电费电价管理中存在的问题,需要采取科学的电费电价分析方法,有效应对当前电费电价制定过程中存在的风险因素。利用统计学的相关理论知识和市场营销情况,合理地进行电费电价方式的选择。通过制定电价目标,严格审核用电用户性质,规定电价收费过程,将国家对电网电价的规定进行落实,结合区域用电不同差异化管理,从而进一步增强电价规范性,保障电价核定的合理性,也可以保证用户用电收费的科学性,以此避免电力企业经济利益受到损失。基于此,本文主要分析了电力营销管理中电费电价管理方法。