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Use of Computational Intelligence in Illumination Systems Searching Energetic Efficiency
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To foment the study of methodologies to project and control efficient illumination systems, aiming at the reduction of energy consumption and optimal performance of illumination systems. Applying artificial neural networks to determine the luminance in the interior of each specific environment requires taking into account the influence of natural luminance, the visual comfort of the user and the characteristics of the construction (type of ceiling, walls, floor, length, width, height, type of illumination device etc.) in order to achieve greater energy efficiency and optical comfort of the user.
Silva, I.; Tostes, M. E.; Silva, R. (2007). Use of Computational Intelligence in Illumination Systems Searching Energetic Efficiency. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from