简介:<正>NatureandaimoftheGroupGorporationChinaHydropowerEngineeringConsultingGroupCorporationsetupattheendof2002withtheapprovaloftheStateCouncilhadrestructuredsevenresearchinstitutesofinvestigationanddesign(Beijing,EastChina,Northwest,Mid-south,Chengdu,Guiyang,Kunminginstitutes)andChinaWaterResourcesandHydropowerConstructionEngi-
简介:<正>ChinaPowerEngineeringConsultingGroupCorporationestablishedonthefoundationofChinaPowerEngineering(Group)CompanyLtd.affiliateseightsolely-ownedemterprisesandcompaniesandaninstitution,theyare:Northeast,EastChina,Central-South.NorthwestandSouthwestpowerdesigninstitutes,EngineeringCompanyLtd.underGuohuaNorthChinaPowerDesignIn-stitute,ChinaPowerConstructionConsultationCorporation,ChinaPowerEngineeringConsultation(Group)CompanyLtd,andthePowerPlanningandDesignGeneralInstitute.
简介:<正>NatureoftheGroupCorporationChinaWaterResourcesandHydropowerConstructingGroupCorporationisastate-ownedenterpriseapprovedbytheStateCouncilandorganizedonthefoundationofChinaWaterResourcesandHydropowerEngineeringConstructionCompanyandrelevantenterprisesundertheformerStatePowerComorationofChina.Itsmainmembershipincludes23solely-ownedenterprisesand2stockholdingenterprises.
简介:超短期风速预测对风电场功率预报系统的建立和运行至关重要。针对具有较大随机波动性的风速预测,研究了一种基于误差修正的极端学习机(ELM)超短期风速预测方法。利用ELM模型对风速进行初步预测,并利用由此得到的误差数据样本建立差分自回归滑动平均模型(ARIMA),进行误差预测,最后使用预测误差对风速的初步预测值进行补正,从而求得最终预测值。仿真实验结果表明,该方法在风速超短期预测中的可行性及有效性。