【毕马威KPMG】2025智慧能源AI驱动转型下的价值创造蓝图

Intelligentenergy

AblueprintforcreatingvaluethroughAI-driventransformation

KPMG.MaketheDifference.

KPMGInternational

/intelligent

energy

Firstphase

Secondphase

Thirdphase

Keyconsiderations

Ataglance

Introduction

Researchfindings

Buildingtheintelligent

energycompany

GuidingyourAI

transformation

AIinenergy:Currentstate

Foreword

Thepaceoftechnologicaladvancementis

nothingshortofextraordinary.Ifthisreporthadbeenwrittensixmonthsago,itsconclusions

mightalreadyfeeloutofdate.Sixmonthsfromnow,theymayevolveagain.That’stherealitywenowoperatein—aworldwhereinnovationisnotonlyconstantbutacceleratingandwheretechnologiesoncethoughtofasfuturistic,suchasquantumandagenticAI,arerapidlymovingintothestrategicplanninghorizonofthe

energysector.

Inthenearterm,theindustryleaderswespeakwithpointtoagenticAIasatransformativeforce.Althoughtraditionalautomationhasdeliveredincremental

benefits,itsprogressisincreasinglyconstrainedbytheneedforexperthumanintervention—expertisethatisbothscarceanddiminishing.

AgenticAIoffersabreakthrough.Thesesystemscan

autonomouslymanageentireworkflows,complementingthenuancedjudgmentofhumanexpertsandmaking

complexdecisionswithoutdirectoversight,providing

recoursetoahumanexpertifandwhenrequired.Thelevelofimpactseemsdramatic:Onecompany,IheardpresentatCOP29,sharedthatbydeployingAIagents,they

reduceda21-dayprocesstojust18minutes.

Forenergycompanies,thecostofinactionisrising

fast—thosewhodelayriskbeinglockedintooutdated

infrastructures,talentmodels,andoperatingassumptionsthatmaybeunfitforpurposebytheendofthedecade.

ScalingAIisaboutreimaginingtheenterpriseandmeetingtheenergytrilemmaheadon,embeddingintelligence

acrossthevaluechaintosecuresupply,decarbonizeandcontrolcosts.Thisreportprovidesguidancefornavigatingthatfuture.

ForAItotrulyscaleanddelivervalue,energy

companiesmustrethinknotjusttheir

technology,buttheirentireoperatingmodel.

ThosethatcanalignAIwithbusinessstrategy,integratedataandtechnologyandcreate

aworkforcereadytoembraceAI-powered

decision-makingwilllikelybetheonesthatleadinthenexteraofenergytransformation.99

AnishDe—GlobalHeadofEnergyKPMGInternational

Foreword

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Contents

02Foreword

04Ataglance

05Introduction

08Researchfindings

10AIinenergy:Currentstate

14Buildingtheintelligentenergycompany

18Thefirstphase:EnablingAItopeople

25Thesecondphase:EmbeddingAIintheflowofwork

30

Thethirdphase:Evolvingyourenergyecosystem

32Keyconsiderations

Conclusion

36

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Ataglance

Firstphase

Secondphase

Thirdphase

Keyconsiderations

Ataglance

Introduction

Researchfindings

Buildingtheintelligent

energycompany

GuidingyourAI

transformation

AIinenergy:Currentstate

Foreword

EnergycompaniesarebeginningtoscaletheirAIpilots

56%

havebeenpilotingAIbutonly13percentoperateanAIcenterofexcellence

Thereareearlysuccesses

efficiency

improvements

79%

haveseen

60%

ROIsof

greaterthan

10percent

74%

Thereisatwinfocusonefficiencyandgrowth

Revenuegrowth

65%Efficiency

Thedualityofenergycreationand

environmentalimpactisakeyconsideration

63%

71%

struggletobalanceAIusewithsustainabilitygoals

viewsustainabilityasamore

importantstrategicgoalthanAI

Experimentationforbreakthroughsisacriticalinvestmentarea

92%

believethatorganizationsthatembraceAIwilldevelopacompetitiveedgeoverthosethatdonot

areinvestinginfuture-focused

projectswithouttheexpectationofimmediatereturns

96%

TheindustryispreparingforanAIfuture

haveinvestedinanautomateddatafabricorhybridcloud,crossplatform,dataintegration

operateanenterprise-widecloudorhybrid-cloudITinfrastructure

63%

64%

Therearesignificantchallengestoscalingapplications

58%

havedataissueswithinconsistentformatsimpactingdataquality

faceethicsand

regulatoryissues

38%

Intelligentenergy:AblueprintforcreatingvaluethroughAI-driventransformation|5

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Introduction

Firstphase

Secondphase

Thirdphase

Keyconsiderations

Ataglance

Introduction

Researchfindings

Buildingtheintelligent

energycompany

GuidingyourAI

transformation

AIinenergy:Currentstate

Foreword

AIinenergyisaboutmorethanjustadoptingnewtechnologies—it’sabouttransforminghowenergyisgenerated,distributed,and

intelligentlymanagedtomaximizeefficiency,minimizewaste,andresponddynamicallytoreal-timedemandandsystemconditions.

Forleadersintheenergyindustry,standingstillisno

longeranoption.Customers,regulatorsandpartnersalikeexpectup-to-date,intelligentsystemscapableofdeliveringaffordable,reliableandsustainableenergy.Thebusinessesoftodaywillnotlookthesameby2030—andthejourneyfromheretothererequiresflexibility,foresightandthe

couragetoactinuncertaintimes.

Tounderstandhowthesectorispreparing,KPMG

interviewedandsurveyedAIleadersacrosstheenergy

industry,including163seniorexecutivesfrommid-to

large-sizedenergycompaniesacrosseightcountries

(Australia,Canada,China,France,Germany,Japan,the

UnitedKingdomandtheUnitedStates).WhatemergedisapictureofthecurrentstateofAIadoptionintheenergysector;insightsintohoworganizationsareapproachingAIstrategy,investmentandimplementation;and“noregrets”actionscompaniescantaketopreparetheirorganization

forthefuture,includingadoptingacomposableoperatingarchitecturethatenablesagility.

Thisreportexplores:

•HowtodefineAI-drivenvaluecreationinenergy—

UnderstandinghowAIcanenhanceoperationalefficiency,improvegridstability,supportsustainabilitygoalsanddrivecommercialsuccess.

•HowAIcanaddresschallengesaroundregulatory

compliance,cybersecurityandcross-functionalintegration.

•ThecharacteristicsofAI-readyenergyorganizations—

Identifyingwhatdifferentiateshigh-performingcompaniesandthecriticalenablersofAIadoption,includingdata

infrastructure,workforcereadinessandgovernancemodels.

•AnAImaturitymodel—Aframeworktohelpenergyorganizationsprogressthroughthreekeystages:

•EnablingworkforcesandbuildingAIfoundations

•EmbeddingAIacrosstheenterprise

•Evolvingoperatingmodelsandecosystems

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©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Figure1:EnergymustovercomestrategicbarriersforAIadoption

PercentagewhosaytheirorganizationhasfacedthefollowingchallengeswhenintegratingAI

Poordataquality

EmployeeresistancetochangeandreluctancetouseAItools

Ethicalrisks

Lackofcommunicationandalignmentbetweendepartments

BudgetrestrictionsorlackofinvestmentTimeandresourceconstraintsInconsistentdataformats

Securityanddataprivacyconcerns

LackofAIskillsorexpertiseamongworkforceLegalorregulatoryconstraints

Difficultyinmeasuringreturnoninvestment(ROI)

Lackofleadershipcommunicationandalignment

Datasilos

Lackofleadershipsupportandunderstanding

WhatchallengeshasyourorganizationfacedwhenintegratingAI?(Maximum5)n=163

Source:Intelligentenergy:AblueprintforcreatingvaluethroughAI-driventransformation,KPMGInternational,2025

24%

23%

22%

22%21%

21%21%

20%

20%

20%

19%

18%

15%

11%

Intelligentenergy:AblueprintforcreatingvaluethroughAI-driventransformation|7

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Keyrecommendations

WealsodiscoveredthatcapturingvaluefromAIrequiresastrategic,enterprise-wideapproach.Ourresearchidentifiesfourkeyrecommendations.

DesignanAI-first

businessstrategyand

transformationroadmap

PivotingtoanAI-firstapproachhelps

ensurethatintelligentsystemsand

data-driveninsightsinformevery

decision,frominfrastructureinvestment

toworkforceplanning.It’snotabout

boltingAIontothebusiness—instead,

it’saboutrebuildingthebusinessaroundAI.AIshouldenhanceoperational

efficiency,predictivemaintenance,safetyandsustainabilitywhilealigningwith

long-termbusinessgoals.Aclearroadmapshoulddefinehigh-impactAIusecases,

balancingshort-termcostreductionswithlong-termvaluecreation,helpingensureAIinvestmentsgeneratemeasurable

businessandenvironmentalbenefits.

Buildtrustintothe

transformationroadmapfromtheoutset

Trustiscriticalinanindustrywhere

safety,reliabilityandcomplianceare

paramount.AIadoptionmustincludetransparentgovernanceframeworks,robustriskmanagementandregulatoryalignmentfromthestart.Energyfirmsshouldengageregulators,employeesandexternalstakeholderstoaddressconcernsaboutdatasecurity,

AI-drivendecision-makingandethicalconsiderations.Byembedding

explainability,accountabilityand

fairnessintoAImodels,companiescanbuildtheconfidenceneededtoscaleAIacrossoperations.

CreateasustainabletechnologyanddatainfrastructureforAI

andagenticadoption

Scalabletechnologyanddata

foundationsareessentialforunlockingAI’sfullpotentialinenergy.Companiesshouldinvestindatagovernance,

datafabrics,cloud-basedplatforms

andhybridITinfrastructurestoenableseamlessAIintegration.Standardizingdataacrossdistributedenergy

networks,sensor-drivenindustrialsitesandreal-timegridoperationsenablesAImodelsandautonomousagentstofunctioneffectively.EquallyimportantisminimizingtheAIenergyfootprint,balancinginnovationwithsustainabilitygoalsandregulatoryrequirements.

BuildaculturethatusesAItouplifthumanpotential

AIshouldaugment,ratherthanreplace,humanexpertise.OrganizationsshouldfosteraculturewhereAIempowers

engineers,technicians,gridoperatorsanddecision-makersbyenhancing

insights,automatingroutinetasksandimprovingsafety.Investingin

AIliteracyandethicstraininghelps

ensureemployeesarepreparedforanintelligentfuture.

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©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Research

findings

IntroducingAItechnologyisacostlyendeavor,requiringsignificantinvestmentinhardwareupgrades,softwareprocurement,datainfrastructuretransformationandtherecruitmentofspecializedtalent.Forlargeenterpriseslikeours,whilethesecostscanbegraduallyabsorbed,theystillrepresentasubstantialexpenditure.Therefore,weneedtobeprudent,findingthemostcost-effectivesolutionswithinalimitedbudget.99

ChiefInformationOfficer—China

Theenergysectorisundergoingaprofoundtransformation,shapedbyshiftingmarketdynamics,technologicaldisruption,regulatorypressuresandtheglobalpushforsustainability.

Whatwasonceanindustrybuiltontraditionalextractiveand

network-basedmodelsisnowevolvingintoaninterconnected,digitallyenabledecosystem.

Fromexperimentationtoscale

AIadoptioninenergyhasmovedbeyondpilotprojects,with56percentofcompaniesscalingAIinitiativesand44percentintegratingAIasa

corepartofoperations.Despitedifferencesbetweenregulatedandunregulatedentities(aswellasthespecificnuancesofindividual

sub-sectors),thechallengesandopportunitiesaroundAItendtobe

broadlyconsistent.Companiesacrosstheenergyvaluechainare

convergingoncommonAIusecasesinareaslikeoperationalefficiency,assetoptimization,safety,sustainabilityandpredictivemaintenance.

Costreductiontofundfuturedevelopments

Manyorganizationsarepursuingaggressivecost-outprogramsin

responsetofluctuatingdemand,geopoliticaluncertaintiesandincreasingsustainabilityrequirements.RespondentsviewAIasakeyenablerof

operationalstreamlining,with79percentofcompaniesalreadyreportingmeasurableefficiencyimprovementsand60percentseeingROIsgreaterthan10percent.TheseAI-drivencostreductionsarealsofacilitating

reinvestment,creatingaself-fundingAItransformationmodelwheresavingsareredirectedintofurtherdigitalinnovation.

Intelligentenergy:AblueprintforcreatingvaluethroughAI-driventransformation|9

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Third

operationalvaluestreams

phase

LetAKIeayusairkayionsoe

GuidingyourAI

trneroaligoyno

Theindustryisfocusedonthefuture

Ninety-twopercentoforganizationsareinvestinginfuture-focusedAIprojectswithouttheexpectationofimmediatereturns.Energycompaniesaremakingsubstantialinvestments,with76percentplanningtoincreaseAIspending—63percentbymorethan

10percent.ThebiggestgrowthareasincludeAI-drivenautomation,predictiveanalyticsandAI-enhanced

productandservicedevelopment,where80percentofcompaniesareembeddingAIintotheirofferings.

SignificantbarriersremaintoscalingAI

OrganizationalhurdlesarehinderingAI’sfull-scale

adoption.Industryrespondentsciteinsufficientdata

management,governance,investmentandprioritizationresultingindataqualityissues(58percent);regulatorycomplexities(38percent);andbudgetconstraints

(37percent)askeychallenges.Thereisalsoalackofconnectionandintegrationbetweenteamscharged

withimprovingdataandteamsdevelopingAI.Only

13percentofenergycompaniescurrentlyoperateanAICenterofExcellence,withAIleadershipfragmentedacrossIT(20percent)oracombinationofITand

businessfunctions(34percent).

Movingforward

ThenextphaseofAIinenergywillbeaboutturning

promiseintotangible,lastingimpact.CEOsandsenior

leadersinourresearchrecognizetheneedforchange,buttosucceed,thesectorshouldmovebeyondincrementaladoptionandfocusonscalingAIinwaysthatcutcosts,

improvereliabilityandsupportsustainability.

Emergingtrendsprovideaclearpathforward.The

companiesthatsucceedwilllikelybethosethat

streamlinetheiroperatingmodels,integrateAIacrossvaluechainsanddevelopthedataandtechnology

infrastructurenecessarytofuelAI-drivengrowth.

Weapproach[AI]withexcitement,but

alsowithalotofcaution.Wedon’twant

tohavethetoolprovideinputthat’sgoingtobereliedonbyouremployeesorour

regulatorswithouthavingameansof

validatingthedata.There’sstillahuman

involvedineveryaspectoftheoutputfromGenAIjusttoensureaccuracy.99

ChiefRiskOfficer—US

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©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

AIinenergy:

Currentstate

AIprojectswithintheenergysectorfallintotwocategories:

initiativeswherethereismeasurableROIandpassionprojectsdrivenbyindustryvalues.

Value:MaximizingefficiencyandROI

Value-ledinitiativesthataredesignedwithclear,quantifiableoutcomes

aredrivingAIadoptioninenergy,specificallyinareaswhereintelligent

toolsandtechnologiesreduceinefficienciesandoperationalcostswhilealsomitigatingrisksandimprovingcapabilitiesascompaniesgrapplewiththetrilemma.

ManyAI-drivenvalueinitiativesdelivertransformativeperformancegains,sometimesachievingsubstantialefficiencyimprovementsbyautomatingoreliminatingentireprocesses.Forexample,predictivemaintenancecananticipatefailuresinturbines,pipelinesandrefineries,reducingunplanneddowntimeandextendingassetlifecycles.Supplychainoptimizationhelpsensurebetterinventoryforecastinganddistribution,whileintelligent

demandmodelsfine-tunepowerconsumptionacrossfacilities,minimizingwasteandhelpingensureasteadysupplyofpower.

Intheshortterm,we’regoingtobenefitmostfromproductivitygains,sowe’llbeabletoreduceourdependenceon

managedserviceproviders.We’llbeabletodelivermorewithless,whichisimmediatevalueonthebalancesheet.Inthemediumterm,wewillseebenefitsaroundourassets,soreductioninassetfailures,increasedabilitytoplanandschedulemaintenance.AlsobeingabletosearchthroughmanualsfromfortyyearsagousingLLMsisfantasticandthat’sarealstepchangeintermsofhowyoucanmanagefortyyearsofagingassets.99

SeniorVicePresident,CorporateServicesandChiefRiskOfficer—US

Intelligentenergy:AblueprintforcreatingvaluethroughAI-driventransformation|11

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Passion:Drivingsafety,sustainabilityandpurpose

TheenergysectorisdeployingAIinpassionprojectsthatalignwithsafetyandsustainabilitygoals.Theseinitiativeshelpensureregulatorycompliance,reduceenvironmentalimpact,andupholdcorporateresponsibilitystandards—whilealsounlockingeconomicvaluethroughcost

savings,operationalefficiency,andimprovedriskmanagement.

Forexample,AI-drivensafetymonitoringistransformingriskmanagementandisalreadyprovingcriticalin

preventingindustrialaccidents,oilspillsandreducing

injuriesandmortality.Machinelearningalgorithms

continuouslyscanenvironmentalconditions,allowing

energycompaniestopreemptivelyaddresssafetyrisksbeforeincidentsoccur.Forexample,intelligentsystemsanalyzesensordatafromdrillingsites,powerplants

andrefineriestodetecthazardousgasleaks,structuralweaknessesorpotentialequipmentfailures.

AIisalsoagame-changerinenvironmentalmonitoring.Advancedsatelliteimageryandsensornetworkstrackemissions,detectwildlifedisturbancesnearminingsitesandflagillegalactivitiessuchasunauthorizeddrillingorpipelinetampering.

Workerwell-beinginitiativesareanotherareawhere

AIismakinganimpact.AI-poweredfatiguemonitoringsystemsusewearablesensors,biometrictrackingandreal-timevideoanalyticstodetectsignsofexhaustionorcognitivestrainamongfieldworkers.Thesesolutionshelppreventworkplaceinjuries,ensurecompliancewithlaborsafetystandardsandimproveoverallworkforce

healthandproductivity.

AgenticAIinenergy

AgenticAIisthenextevolutionofartificialintelligence—movingfrompassivetoolsthatrespondtocommands

toautonomoussystemscapableofmakingdecisionsandtakingaction.Agenticwilllikelybeatransformativetechnologyfortheenergyindustry.

Fromautomationtoautonomy

AgenticAIenablesintelligentsystemstoact

independentlytowardspredefinedgoalswithoutconstanthumaninput.Intheenergysector,thismeansAI

agentscanautonomouslymonitorgridhealth,optimizeloadbalancing,schedulemaintenanceandevenadjustgenerationlevelsbasedonreal-timedemandforecasts.

Theycananalyzevastamountsofreal-timedatafrom

distributedassets—solar,wind,storage,EVs—anddynamicallycoordinatetheiroutput.Theseagents

operatecontinuously,adapttochangingconditions

andmakedecisionsthatpreviouslyrequiredmanualintervention—dramaticallyimprovingresponsivenessandefficiency.

Transformingcustomerandmarketinteractions

Onthedemandside,agenticAIcanempowerindustrialandcommercialcustomerstoautomaticallybuy,store,orsellenergybasedonpricesignals,usagepatterns,

orcarbontargets.Theseagentscannegotiateenergycontracts,managemicrogrids,orbidintoflexibility

marketswithminimalhumanoversight,openingupnewvaluestreamsandradicallystreamliningenergyparticipationforcustomers.

Intelligentenergy:AblueprintforcreatingvaluethroughAI-driventransformation|12

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Acceleratingdecarbonizationandinnovation

Bycontinuouslylearningandoptimizingacrossthe

system,autonomousagentscanplayakeyrolein

acceleratingdecarbonization.Theycanoptimizedemandforhigh-usagecustomers,reduceenergywasteand

orchestratelow-carbonsolutionsacrosscomplex

ecosystems.Astheenergyindustryevolvesintoa

dynamic,software-definedinfrastructure,agenticAIwilllikelybecentraltounlockinginnovation,reducingcostsandensuringresilienceinanet-zerofuture.

UnlockingAIpotential

ThepotentialofAI—traditional,generative,and

agentic—isvast.Energyorganizationsmayinevitably

identifynumerouspriorityusecases.Butwithout

orchestration,effortscanbecomesiloedormisaligned.Successdependsonharmonizingtheseusecaseswitheachotherandwithadjacenttechnologiessuchasdigitaltwins,HPC,CRMandAR/VR.

Evolvingtheenterprisetechnologyarchitecture

AImustintegratewiththeexistingtechstack.Thisrequiresreviewingenterprisearchitecturetoidentifyopportunitiesforstreamliningandmodernization.

Dataiscentral—AIneedsstructuredandunstructureddatafromvariedsources.Robustcapabilitiesfor

ingestion,storage,governanceandaccesscontrolsareessentialforscale.

Newlayersoforchestrationrequired

GenerativeandagenticAIdemandneworchestrationlayerstomanagedata,prompts,andinteractions

acrossagentsandsystems.Theseshouldalignwithenterprisegoals.Securityshouldrunthroughoutthestack—fromdesigntooperation.Finally,intuitive,user-friendlyinterfacesarecriticaltodrivetrust,

adoptionandlong-termvaluerealization.

Evolvingtheecosystem

Theroleoftheecosystemarchitectisemergingas

acriticalcomplementtothetraditionalenterprise

architect.Whileenterprisearchitectsfocuson

optimizinginternalsystemsandstructures,

ecosystemarchitectstakeabroader,outward-lookingview.Theyareresponsiblefordesigningthe

interconnectedplatforms,dataflows,andcollaborativeframeworksthatenableutilitiestooperateas

partofawider,intelligentecosystem—includingcustomers,competitors,regulators,suppliersandtechnologypartners.

AgenticAI

isthenextevolutionof

artificialintelligence—

movingfrompassivetoolsthatrespondtocommandstoautonomoussystems

capableofmakingdecisionsandtakingaction.

Intelligentenergy:AblueprintforcreatingvaluethroughAI-driventransformation|13

©2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Ataglance

Introduction

Researchfindings

AIinenergy:Currentstate

Buildingtheintelligent

energycompany

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

t