Josep Cirera

Industrial Plants,Coefficient Of Performance,Compressor,Data-driven Methodology,Electric Power,Input Space,Operating Conditions,Output Grid,Output Space,Potential Savings,Real Plant,Self-organizing Map,Suction Pressure,Weight Vector,Wet Bulb,Abnormal Situations,Aggregate Signal,Anomaly Detection,Data-driven Methods,Deep Neural Network,Dimensional Space,Dry Bulb,Electric Power Consumption,Electricity Consumption,Energy-saving Potential,Event Detection,External Conditions,Feature Engineering,Flow Meter,Hidden Markov Model,Industrial Refrigeration,Industrial Systems,Instrument Cost,Learning Rate,Matching Unit,Maximum And Minimum,Multilayer Perceptron,Multivariate Estimation,Neural Network,Neuronal Populations,Non-representative Sample,Operational Performance,Plant Characteristics,Plant Operators,Plant Performance,Presence Of Outliers,Probability Density Function,Quantization Error,Refrigeration System,Refrigerator,