Sareh Naji - Department ofCivilEngineering,FacultyofEngineering,UniversityofMalaya,50603KualaLumpur,Malaysia
Shahaboddin Shamshirband - Department of Computer System and Technology, Faculty of Computer Scince and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia
Hossein Basser - Department ofCivilandEnvironmentalEngineering,AmirkabirUniversityofTechnology,Tehran,Iran
Afram Keivani - Department ofCivilengineering,TabrizBranch,IslamicAzadUniversity,Tabriz,Iran

The hugedemandforenergyandconstructionmaterialshasbecomeanissueofgreatconcernrecently.The energyusageofbuildingsaccountsforalargepercentageofthetotalprimaryenergyconsumption.The totalenergyrequirementofbuildingsisinfluenced byvariousfactors,includingenvironmentalandclimatic conditions,buildingenvelopematerials,insulation,etc.Inthisrespect,estimatingtheopera-tional energyofbuildingsispotentiallyhelpfulforarchitectsandengineersintheearlydesignandconstruction stages.Inthisstudy,theadaptiveneuro-fuzzyinferencesystem(ANFIS)isdesignedandadaptedtoestimatetheenergyconsumptionofbuildingsaccordingtothemainbuildingenvelopeparameters,namelymaterialthicknessandinsulation K-value.Upto180simulationsusingdifferentmaterial thicknessvaluesandinsulationpropertiesarecarriedoutinEnergyPlussoftwareinordertousefor estimation.ThissoftcomputingmethodologyisimplementedwithMatlab/Simulinkandtheper-formance isinvestigated.

Energy consumption, Residentialbuildings, Energy efficiency, Neuro-fuzzy, ANFIS