CSET：2025年国家发展改革委国家能源局关于推进“人工智能+”能源高质量发展的实施意见报告（英文版）

1ThefollowingpolicydescribesChina’svisionfortheadoptionofAItechnologyinitsenergysectorthrough2030.AspinoffoftheAugust2025“AI+”strategy,thisplanidentifiesnumerouswaysthatChineseelectricutilitiesandenergycompaniesshoulduseAItoimprovetheiroperations.Theseincludeareassuchaspredictivemaintenance,coordinatingsupplyanddemandofrenewableenergy,andreplacingdangerousorlabor-intensivetasksincoalminingandoffshoreoildrilling.TheplancoversapplicationsofAItechnologytosupporttheenergysector,anddoesnotaddresstheflipsideoftheissue,namelyhowtosupplyenoughelectricitytomeettheincreasingenergyneedsofChina’sAIindustry.TitleImplementationOpinionsoftheNationalDevelopmentandReformCommissionandtheNationalEnergyAdministrationonPromotingtheHigh-QualityDevelopmentof"ArtificialIntelligence+"EnergyAuthorsChineseNationalDevelopmentandReformCommission(NDRC;国家发展和改革委员会;国家发展改革委;国家发改委)andNationalEnergyAdministration(国家能源局)SourceNationalEnergyAdministrationwebsite.TheOpinionswereformulatedonSeptember4,2025anduploadedtothewebsiteonSeptember8,2025.TheChinesesourcetextisavailableonlineat:/20250908/8a90bf7f17b141038fe7be0988a2c603/c.htmlAnarchivedversionoftheChinesesourcetextisavailableonlineat:https://perma.cc/VH3D-4L2FTranslationDateSeptember30,2025TranslatorEtceteraLanguageGroup,Inc.BenMurphy,CSETTranslationManagerImplementationOpinionsoftheNationalDevelopmentandReformCommissionandtheNationalEnergyAdministrationonPromotingtheHigh-QualityDevelopmentof"ArtificialIntelligence+"Energy[2025]DocumentNo.73Tothedevelopmentandreformcommissionsandenergyadministrationsofallprovinces,autonomousregions,province-levelmunicipalities,citieswithindependentplanningstatusunderthenationaleconomicandsocialdevelopmentplan,andtheXinjiangProductionandConstructionCorps,andtorelevantcentralenterprises,and2relevantindustryassociations:InordertothoroughlyimplementthedecisionsandarrangementsofthePartyCentralCommitteeandtheStateCouncilonthedevelopmentofartificialintelligence(AI),carryouttherelevantworkrequirementssetforthintheOpinionsoftheStateCouncilonDeepeningtheImplementationofthe"AI+"Initiative([2025]DocumentNo.11),1seizethemajorstrategicopportunitiesinthedevelopmentofAI,makeourorientationtowardapplicationsmoreprominent,acceleratethedeepintegrationofAIwiththeenergyindustry,andsupporthigh-qualitydevelopmentandhigh-levelsecurity2intheenergysector,thefollowingimplementationopinionsareherebyputforward.I.OverallRequirementsAdheringtoXiJinpingThoughtonSocialismwithChineseCharacteristicsforaNewEraastheguide,thoroughlyimplementingthespiritofthe20thPartyCongressandtheSecondandThirdPlenumsofthe20thCentralCommittee,andfullyimplementingGeneralSecretaryXiJinping’simportantinstructionsonpromotingthedeepintegrationofAIwiththerealeconomyandcultivatingandexpandingtheAIindustry,thisworkwillrelyontheexpansionofapplicationscenariosforthedeepintegrationofAIwiththeenergysectorasanimportantsupport,taketheenhancementofthetechnologicallevelofinnovativeapplicationsofAIintheenergysectorasitsmainfocus,taketheadvancementofcoordinateddevelopmentbetweenintelligentcomputingpower(compute)3andelectricpowerasanecessarysupport,andtaketheimprovementoftheinnovationsystemforenergyintelligentization(智能化)developmentasakeysafeguard.Wewillstrivetoenhancethesafe,reliable,flexible,andefficientoperationalcapacityoftheenergysystem,ensurethesecureandstablesupplyofenergyanditsgreenandlow-carbontransformation,acceleratethecultivationofnewqualityproductiveforces(新质生产力),andprovidestrongsupportfortheconstructionofanew-typeenergysystem.By2027,apreliminaryinnovationsystemforintegrationofenergyandAIwillhavebeenestablished,thefoundationforcoordinateddevelopmentofcomputeand1CSET’sEnglishtranslationoftheOpinionsoftheStateCouncilonDeepeningtheImplementationofthe“ArtificialIntelligence+”Initiativeisavailableonlineat:/publication/china-ai-plus-opinions-2025/.2Translator'snote:TheChineseword安全encompassesthemeaningsofboth"safety"(protectionfromaccidentalharm)and"security"(protectionfromdeliberateharm).Inthistranslation,itisvariouslytranslatedas"safety,""security,"or"safetyandsecurity"atthetranslator'sdiscretion.3Translator'snote:"Intelligentcomputingpower"("intelligentcompute";智能算力;智算)typicallyreferstocomputingpowerspecificallydesignedandoptimizedforartificialintelligence(AI)modeltraining,inference,oruse.3electricpowerwillbefurtherconsolidated,significantbreakthroughswillhavebeenachievedinAI-empoweredcoretechnologiesforenergy,andapplicationswillbemoreextensiveandin-depth.Fiveormorespecializedlargemodelswillbepromotedfordeepapplicationinindustriessuchaspowergrids,powergeneration,coal,andoilandgas.Tenormorekeydemonstrationprojectsthatarereplicable,easytopromote,andcompetitivewillbeidentified.Pathwaysforempowering100typicalapplicationscenarioswillbeexplored.Anumberofresearchanddevelopment(R&D)innovationplatformsforAItechnologyapplicationsintheenergyindustrywillbefostered.Onehundredtechnicalstandardswillbeformulatedandimproved.Anumberofhybridtalents(复合型人才)inenergyandAIwillbecultivated.Explorationwillbecarriedouttoestablishafinancialsupportsystemforresearch,development,andapplicationofAItechnologyintheenergyfield.AdevelopmentmodelforAItechnologyinnovationintheenergysectorthataccordswithChina’snationalconditionswillbeformed,andinitialresultsinenergyintelligentizationwillemerge.By2030,China’sdedicatedAItechnologiesandapplicationsintheenergysectorwillhavegenerallyreachedaworld-leadinglevel.Themechanismforcoordinateddevelopmentofcomputeandelectricpowerwillbefurtherimproved,andanenvironmentallyfriendly,economical,safe,andefficientmodelofcomputeenergyusewillbeestablished.TheoreticalandtechnologicalinnovationintheintegrationofenergyandAIwillhaveachievednotableresults.AItechnologiesintheenergysectorwillempowercross-domain,cross-industry,andcross-businessscenarios,achievingbreakthroughsinareassuchasintelligentpowerregulation,intelligentexplorationofenergyresources,andintelligentforecastingofnewenergy.EmbodiedAIandAIforsciencewillachievereal-worldapplicationsinkeyscenarios.Anumberofgloballyleading"AI+"energy-relatedR&Dinnovationplatformsandhybridtalenttrainingbaseswillbeestablished.Amorecompletepolicysystemwillbeformedtocontinuouslyguideefficient,healthy,andorderly"AI+"energyinnovation,layingasolidfoundationforthehigh-qualitydevelopmentofenergy.II.AcceleratingEmpowermentofEnergyApplicationScenarios(i)AI+powergrid.Focusingontherequirementsofpowergridsecurity,newenergyintegration,andoperationalefficiencyunderanew-typepowersystem,carryoutapplicationssuchaspowersupply–demandforecasting,intelligentgriddiagnosticanalysis,andintelligentgenerationofplanningschemesingridplanninganddesign,andstrengthensmartconstructionandmanagementofpowergridprojects.Advancemulti-scaleintelligentsimulationandanalysisofpowergrids,exploretheapplicationofAImodelsinintelligentauxiliarydecision-makinganddispatchcontrolofpowergrids,andenhancethesafe,reliable,andlow-carbonoperationofallelementsofsource–grid–load–storageinthepowersystem.Steadilyimprovetheintelligentization4levelofR&Dandmanufacturingofkeyequipmentsuchastransmissionandsubstationfacilities.Promotepredictivemaintenanceofpowerequipmenttopreventbreakdowns,buildintelligentagentsforpowerequipmenthealthmanagementwithautonomoussensing,decision-making,andexecutioncapabilities,andenhanceleanmanagementofequipment.Advanceintegratedapplicationofintelligentoperation,distribution,anddispatching,buildanintelligentsupportsystemforgridoperationservices,andimprovethefull-processintelligentservicelevelforelectricitycustomers.PromotetheintegrationofAItechnologiesintotheemergencypowersystemandcapacitybuilding,andenhancetheintelligentizationlevelofpowersystemdisasterprevention,mitigation,andrelief.Box1:TypicalapplicationscenariosofAI+powergridIntelligentgridplanning,design,andconstruction.Buildapplicationssuchasintelligentforecastingofpowersupplyanddemand,intelligentdiagnosticanalysisofgridoperations,intelligentauxiliarydecision-makingforgridplanning,andintelligentdesignoftransmissionandtransformationfacilities.ApplyAItechnologiestocarryoutplanning,design,andtechno-economicanalysis,andpromotetheintelligentizedtransformationofgridplanninganddesignoperations.Focusingontaskperceptionandoperationalmonitoringduringtheconstructionstage,buildapplicationssuchasAI-basedviolationidentificationingridconstruction,progresssimulation,onlinemonitoring,real-timeanalysisofcontrolindicators,andintelligentmanagementofworkprocesses,soastopromotetheintelligentupgradingofgridprojectconstruction.Griddispatchandoperations.Inthecontextofbuildingaunifiednationalpowermarket,buildintelligentizedapplicationsinareassuchasnewenergypowerforecasting,loadforecasting,offlinesimulationanalysis,onlinesecurityanalysis,extremeemergencyhandling,auxiliarydecision-makingfordispatching,marketclearingandoperationaloptimization,andsmartdecision-makinginthepowermarket.Continuouslyimprovethesupportsystemfornew-generationintelligentregulationandcontroltechnologies,toensurethesafeandstableoperationofthenew-typepowersystem.Powerequipmentconditionassessmentandintelligentoperationsandmaintenance(O&M).Buildapplicationssuchasintelligentperceptionandearlywarningofequipmentcondition,intelligentdefectpinpointinganddiagnosis,intelligentdecision-makingforequipmentcondition-basedmaintenance,intelligentpredictionofequipmentdisasterrisks,andintelligentgenerationofserviceworkorders,inordertoimproveleanmanagementofequipment.5Intelligentoperationandmanagementofdistributionnetworks.Buildtechnicalapplicationssuchasreal-timeperception,riskanalysis,andintelligentdecision-makingindistributionnetworks,comprehensivelyenhancesmartcontrolcapabilitiesandpowersupplyreliabilityofdistributionnetworks,andstrengthencoordinatedregulationofsource–grid–load–storageatthedistributionnetworklevel.Emergencyrushpowerrepairs.Buildauxiliarydecision-makingsystemssuchasintelligentearlywarningofdisasterrisksinpowersystems,intelligentanalysisofdamageconditions,andintelligentdecision-makingforemergencyresponseplans.Advancetheintelligentizationoftechnicalequipmentforpoweremergencyrushrepairs,andenhancethecapacityofthepowersystemfordisasterprevention,mitigation,andrelief.(ii)Newbusinessformats(新业态)forAI+newenergy.Focusingontheneedsofenergysupplyassuranceandgreen,low-carbontransformation,advancetheapplicationofAItechnologiesinflexiblyadjustableresourcessuchasvirtualpowerplants(includingloadaggregators),distributedenergystorage,andvehicle-to-grid(V2G)forelectricvehicles,inordertoenhanceload-sidegroupcontroloptimizationanddynamicresponsecapabilities.StrengthentheapplicationofAItechnologiesincoordinatedoptimizationanddispatchingofnew-typeenergystorageandpowersystems,aswellasintotallifecyclesafety,andpromotetheintelligentoptimizationofrenewableenergyhydrogenproductionprocesses.StrengthentheempowermentofAItechnologiesinenergyproductionprocessesforenergyconservationandcarbonemissionsmanagement,improvethetotalefficiencyandcarbonreductionlevelofmulti-energycomplementaryintegratedenergysystemsprovidingcombinedelectricity,heat,cooling,andgas.PromotetheapplicationofAIinzero-carbonindustrialparks,intelligentmicrogrids,andcompute–powercoordination,enhancetheintelligentoperationallevelofsource–grid–load–storageintegration,andfacilitatelocalconsumptionofnewenergy.Box2:TypicalapplicationscenariosofnewbusinessformatsforAI+newenergyPrecisecontrolandintelligentoperationofvirtualpowerplants.Thevirtualpowerplantoperatorplatform,basedongriddispatchinginstructionsandmarketinformationandtakingintoaccountthedynamicchangesofresourcecharacteristics,conductsintelligentoptimizationofcontrolstrategiesandintelligentgenerationofcontrolinstructions.Thisenableslarge-scaleaggregatedoptimizationandregulationofflexibleresources,andsupportssmarttradingdecisionsforvirtualpowerplantsparticipatingintheelectricitymarket.6Intelligentoptimizationofgreenhydrogenproductionprocesses.Byintegratingmultidimensionaldatasuchaswindandsolarpowerfluctuationforecasts,hydrogenstoragetankcapacity,electrolyzertemperature,andcatalyststatus,andleveragingAIalgorithms,thesystemintelligentlydrivesdynamicoptimizationofelectrolyzercurrentdensity.Thisbuildsanintelligentregulationandcontrolsystemcoveringthefullchainofhydrogenproduction,storage,andutilization,achievingmillisecond-levelmatchingbetweenrenewableenergyoutputfluctuationsandtheflexibleloadofelectrolyticdevices.Industrialpark-levelintelligentcarbonreduction.Basedonoperationaldatafromphotovoltaic,energystorage,andotherequipment,industrialpark-levelintelligentcarbonreductioncollaborativecontrolsystemsdynamicallyoptimizeenergydispatchingstrategiesinrealtime.Byincorporatingelectricitypricesandcarbonemissionfactors,theyautomaticallyadjustairconditioningtemperatures,chargingstationpower,andequipmentstart–stopsequences.Throughaugmentedreality(AR)visualizationinterfacesandvoiceassistants,theyprovideuserswithpersonalizedenergy-savingrecommendations,forminganintelligent"carbon–energy–cost"collaborativemodel.Intelligentizedoperationofnew-typeenergystorage.Addressingthedynamicadaptationofnew-typeenergystoragetopowersystemdispatching,wide-areacollaborativeinteraction,weakgridsupport,batteryequipmentsafetymonitoring,andequipmentassessmentandO&M,AItechnologiesareusedtoenhancethecoordinatedcontrolcapabilityofmultipletypesofenergystorageforweakgrids.Anapplicationsystemisbuiltencompassingwide-areacollaborativeoptimizationcontrolofnewenergywithnew-typeenergystorage,intelligentevaluationofenergystoragepowerstations,smartO&Mdecisionsupport,andtotallifecyclesafety,improvingthepowersupplyassurancecapacityofsystem-friendlynewenergypowerstations.Intelligentmarketingservices.Forcustomer-facingservicescenariosinoil,gas,andelectricity,buildintelligentizedapplicationssuchasintelligentassistanceforagentservicehandling(座席业务受理),intelligentcustomerservice,intelligentgenerationofpowersupplysolutions,intelligentgenerationofintegratedenergyusesolutions,intelligentdispatchingofO&Mworkorders,andintelligentdiagnosisofabnormaluserenergyconsumption.Createaninteractive,companion-stylenewmodelofcustomerservice,andenhancethelevelofintelligentizedserviceacrosstheentirecustomerprocess.(iii)AI+newenergy.Inresponsetothevolatilityandintermittencyofnewenergyoutput,acceleratetheapplicationofAIinareassuchashigh-precisionpower7forecasting,electricitymarkets,smartoperationofpowerplants,newenergyplanning,andpost-projectevaluation.Continuouslypromotetheiterationandinnovationofkeymaterialsandproductsfornewenergy.Advancethedevelopmentoflargemodelsforpowerforecastingundercomplexscenariosandchangeableweathertowardsmallerscalesandhigherprecision,supportwide-areacoordinatedoptimizationofnewenergyresources,andpromoteintelligentO&Mofnewenergypowerplantsinremoteareas.Buildanintegratedintelligentnewenergyproductionmodelof"meteorologicalforecasting+powerforecasting+smarttrading+intelligentO&M,"andmakeeveryefforttosupportastablesupplyofnewenergy.Box3:TypicalapplicationscenariosofAI+newenergyMeteorologicalforecastingandprecisenewenergypowerforecasting.Buildameteorologicalservicesystemwithmultitemporalandmultispatialmeasurement-based(多时空尺度)meteorologicalforecastingatitscore,establishalgorithmiclargemodelsformulti-scenarioandmulti-periodpreciseminingandanalysisofnonlinearrelationshipsbetweenweatherandpower,andachievepreciseforecastingofnewenergypoweroutput.IntelligentO&Mforremote-areapowerplants.Utilizetechnologiesandequipmentsuchaslargemodels,voiceprintdetection,remotesensing,robots,andintelligentwearabledevicestomonitorsurroundingenvironmentsandequipmentoperatingconditionsinrealtime.Achieveintelligentlinkageamongmultiplesystemssuchasunmannedaerialvehicles(UAVs),unmannedvehicles,unmannedsurfacevessels,andintelligentcontrol,therebyimprovingequipmentinspectionefficiencyandenhancingtheoveralloperationalefficiencyofpowerplants.Newenergyplanninganddesign.Takingintoaccountfactorssuchaspowergenerationefficiencyandreturnoninvestment,buildanintelligentizedrecommendationenginetoprovideoptimalequipmentmatchingsolutions.Integratelargemodelswithdesignsoftwaretorapidlygeneratemultipleversionsofdesignschemesandevaluatekeyparameters,improvingboththeefficiencyandqualityofdesign.Smartworksiteconstruction.PromotethedeepintegrationofAItechnologiesintotheentireprocessofpowerprojectmanagement,includingprojectconstructionschemeselection,personnelmanagement,riskearlywarning,andtimelinecontrol.DevelopsystemssuchasUAVinspectionsystemsandautomatedriskassessmentandearlywarningsystemstocaptureviolationsbyconstructionpersonnelinrealtime.Builda"smartworksite"managementplatformcoveringtheentireconstructionprocess,helpingtoimprovetheoverallsafetyandqualitylevelof8powerprojects.(iv)AI+hydropower.Focusingonintelligentizedconstructionofhydropowerprojectsinhigh-altitudeandcoldregionsandsmartschedulingandoperationofcascadehydropowerstations(流域水电站),advancetheapplicationofAItechnologiesinhydropowerprojectconstruction,andenhancethelevelofintelligentizationofdesign,construction,andmanagementofhydropowerprojects.PromotetheintegrationofAItechnologieswithtraditionalhydrologicalmodels,meteorologicalmodels,andlarge-scalereservoirschedulingtechnologies,improvetheaccuracyofbidirectionalcoupledforecastingofmeteorologyandhydrology,anddevelopintelligentapplicationsforoptimizationofschedulingdecision-making.Promotetheintegrationoftechnologiessuchasknowledgegraphs,largemodels,andintelligentagentsintoanew-generationsmartoperationbrainforhydropower,andformintelligentizedsolutionsinkeyareassuchassmartO&Mandleanmaintenanceofhydropowerstations,andintelligentdamsituationalawarenessandsmartmanagement.Box4:TypicalapplicationscenariosofAI+hydropowerIntelligenthydropowerprojectconstruction.Basedonmultisourceremotesensingdatafusionandintelligentrobots,aswellasotherAItechnologies,establishanintelligentizedgeologicalsurveyanddesignsystemforhydropowerprojects.Achievedigitalizedandintelligentizedinstallationanddebuggingofunit(机组)equipment,andimprovetheintelligentizationlevelofconstructionmanagementforhydropowerprojects.Meteorological–hydrologicaljointforecasting.Basedonlargemodelsforbidirectionalcoupledforecastingofbasinmeteorologyandhydrology,buildquantitativeriskassessmenttoolsforextremeeventssuchasfloodsanddroughts.Fullyintegratemeteorologicalknowledge,hydrologicalknowledge,andbasingeographicinformationtoimprovetheaccuracyandleadtimeofmeteorological–hydrologicalforecasting.Comprehensivebasinscheduling.Basedonkeytechnologiessuchasjointsmartoptimizationschedulingfor,riskcontrolof,andsimulationandemulationofstationclusterswithinabasin,buildintelligentapplicationsforpreciseoptimizationofscheduledecision-making.Achievereal-timemonitoring,analysis,andevaluationoftheimplementationofwaterresourceschedulingplans,optimizewaterresourceallocationacrosstimeandspace,improvehydropowerutilization,andincreasepowergenerationefficiency.9Intelligentoperationandinspectionofequipment.Basedonmultisourcedatasuchasphysicalfields(物理场),acoustics,vision,andintelligentsensors,aswellastechnologiessuchasknowledgegraphsandlargemodels,promoteend-to-endintelligentizedupgradesinoperationalareasincludingholisticmonitoringofequipmentcondition,totallifecyclehealthmanagement,intelligentO&M,andstatus-basedmaintenanceforkeyhydropowerequipment.AchievestructuredmanagementofO&Mknowledgeandbuildintelligentauxiliarydecision-makingsystemsbasedonlargemodel–intelligentagentintegration.High-qualityoperationofdams.Establishadatabaseandknowledgegraphoftypicaldamdefectcharacteristics,andapplytheoreticalmethodsforintelligentdamperception–fusion–diagnosis–prevention/control.Achieveearlyidentification,self-diagnosis,automatedadaptivewarning,andintelligentfeedbackandcontrolformultipledriversofdamsafetyconditions,ensuringtheoperationalsafetyofhydropowerstationdamsandsupportingthehigh-qualityoperationsmanagementofreservoirdams.(v)AI+thermalpower.Focusingonthedevelopmentdirectionofcleannessandcarbonreduction,safetyandreliability,efficientregulation,andintelligentoperationofthermalpower,collaborativelycarryoutAIempowermentandtechnologicalinnovationinoperationalscenariossuchasfuelmanagementandcontrol,productionoperationoptimizationandintelligentcontrol,andtotallifecyclemanagementofequipment.Acceleratethedigitalizeddesignandconstructionandintelligentizedupgradingofthermalpower,promotetheintelligentizeddevelopmentandapplicationofthermalpoweroperationalcontrolsystems,andenhancetheintelligentmonitoringandhealthmanagementcapabilitiesforthetotallifecycleofkeythermalpowerequipment,helpingtofurtherstrengthenthesupportandassurancecapacityofthermalpower.Box5:TypicalapplicationscenariosofAI+thermalpowerIntelligentfuelmanagementandcontrol.Basedonmultidimensionalandmulti-typedatasuchasfuelmarketpricefluctuations,inventorylevels,coalconsumption,three-dimensionalstructuresofcoalpiles,andcoalqualityanalysis,adoptadvancedsensing,imagerecognition,ruleunderstanding(规则理解),andintelligentagenttechnologiestoachieveintelligentdetectionandintelligentmanagementandcontroloffuelquantityandquality.Productionoperationoptimization.Basedonlargemodelsanddatafromproductionandoperation-relatedsystems,achieveintelligentizedupgradingofcoreoperationalscenariosintheproductionandoperationprocess,includingfuel10blending,operationoptimization,intelligentflexiblepeakshaving(调峰),andintelligentsafetymanagementandcontrol,therebyimprovingtheintelligentizationlevelandefficiencyofproductionoperations.Totallifecyclemanagementofequipment.BasedonlargemodelsandAItechnologiessuchasrobotics,carryoutreal-timeconditionmonitoringofmultipletypesofdataforkeyequipmentincludingsteamturbines(includinggasturbines),generators,andboilerheatingsurfaces.Achievepanoramicmonitoringofequipmentcondition,quantitativehealthassessment,hiddendangeridentificationandfailureearlywarning,residuallifeprediction,operationalschemeadjustment,anomalyanalysisandjudgment,andclosed-loopmanagementofhiddendangers.Intelligenttechnologysupervisionandevaluation.Relyingonmassiveoperationaldataofkeyequipmentsuchasboilers,steamturbines(includinggasturbines),andgenerators,togetherwithmaterialsrelatedtothermalpowertechnologysupervisionwork,andleveragingthemultimodalanalysiscapabilitiesoflargethermalpowermodels,deeplyintegratewiththermalpower-specificscenariostoenhancetheintelligentizationleveloftechnicalsupervisionandtheprofessionalcapabilitiesofpersonnel.(vi)AI+nuclearpower.Focusingonthesafedevelopmentofnuclearpower,buildintelligentsupportsystemsfornuclearpowersafetyearlywarning,intelligenttracingandanalysisofoperatingincidentsatpowerplants,andemergencyresponse.ConductresearchonspecialO&Mrobottechnologyforthenuclearindustry,continuouslyadvancethetechnologicalupgradingandevolutionoffunctionssuchasautomaticstartupandshutdownofnuclearpowersystems,exploretechnicalpathwaysinwhichAIsupportsplasmapredictionandcontrolandcontrollednuclearfusion,andpromotethenuclearpowerindustry’ssteadytransformationtowardanewmodelthatisdata-driven,model-guided,andintelligentlymanagedandcontrolled.Box6:TypicalapplicationscenariosofAI+nuclearpowerIntelligentnuclearpowersafetymanagementandcontrol.LeveragingdatagovernanceandAItechnologies,focusonoperatingincidenttracing,technicalspecifications,andboundaryconditionsofoperatingparameters,intelligentlyidentifyunsafestatesinvolvingpersonnel,equipment,andtheenvironment,andadvancetechnologicalresearchandapplicationsinscenariossuchassafetyearlywarningandintelligentemergencyresponse.IntelligentO&Mfornuclearpower.Usingdatafrombuildingmaterials,systems,andequipment/componentsateachstage,establishadata-drivennuclear11powerplantmodel.PromoteR&DonsmallnuclearpowerAImodelsandspecializedlargemodels,andadvancetheapplicationofAItechnologiesinintelligentmonitoring,earlywarning,diagnosis,andforecastinginnuclearpowersystems.Enhanceunitperformanceintelligentdiagnosisandoptimizationcapabilities,improveone-button(一键)startupandshutdowncapabilitiesofkeyequipment,systems,andunits,andexpandtherangeanddepthofroboticoperationsinhigh-ris