Residential Lighting Modelling: ANFIS Approach in Comparison with Linear Regression
نویسندگان
چکیده
Most practices applied in the development of lighting usage profile do not reflect the complexity occupants have on lighting loads in residential buildings. This study involves the use of Adaptive Neural Fuzzy Inference System (ANFIS) and regression model for residential load usage profile development, prediction and evaluation for energy and demand side management initiatives. Three variables namely natural light, occupancy (active) and income level were considered in this study. A better correlation of fit and reduced root mean square error was obtained in comparison with the regression model. The developed approach (ANFIS) has the ability to give better lighting prediction accuracy in relation to non-linearity data and behavioural tendencies. Keywords-energy; anfis; statistical analysis; non-linear; behaviour pattern; learning
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