Evaluation of machine learning-based applications in forecasting the performance of single effect absorption chiller network
Farshad Panahizadeh, Mahdi Hamzehei, Mahmood Farzaneh-Gord, Álvaro Antônio Ochoa Villa
Topics & Concepts
ChillerArtificial neural networkCoefficient of performanceGene expression programmingAbsorption refrigeratorSupport vector machineEnergy consumptionComputer scienceGenetic programmingGenetic algorithmCorrelation coefficientMean squared errorChiller boiler systemSimulationArtificial intelligenceEngineeringMachine learningMathematicsWater chillerStatisticsMechanical engineeringThermodynamicsElectrical engineeringRefrigerationRefrigerantGas compressorPhysicsBuilding Energy and Comfort OptimizationSolar Thermal and Photovoltaic SystemsThermodynamic and Exergetic Analyses of Power and Cooling Systems