Estimation by ANN of Luminous Efficacy of Lamps Used for Lighting

Abstract

The increase in energy production costs, and the increasing demand for energy have made energy saving necessary. Energy saving in lighting is able to be actualized by providing economically the same level of light without decreasing the illumination quality. A good lighting is possible by directing required amount of light to spaces desired to be lit. For a good lighting, efficiency factor is a significant measure. By adjusting the luminous efficacy in lamps, the electric energy to be consumed by the lamps is able to be minimized. The electric energy consumed for producing luminous energy will be less at the extent of greatness of luminous efficacy. In this study, the luminous efficacy of lamps of different brands were estimated by the use of data regarding voltage rating, power rating, and total luminous rating of lamps. According to the results of the analysis made by the developed ANN model, the luminous efficacy of lamps of different brands were estimated with an accuracy rate of above 98%. Regarding the lighting systems to be developed, the selection of lamps will be made based on their ability to provide economically the same level of light without decreasing the lighting quality, and to provide the required luminous efficacy for increasing the luminous efficacy.

Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers

“…Equation 2 was used to reduce the training data to this interval. The data obtained as the result of normalization is as shown in Table III [ [29][30][31].…”