Use of Computational Intelligence in Illumination Systems Searching Energetic Efficiency

dc.creator	Silva, I.
dc.creator	Tostes, M. E.
dc.creator	Silva, R.
dc.date.accessioned	2007-12-01T00:55:12Z
dc.date.available	2007-12-01T00:55:12Z
dc.date.issued	2007
dc.identifier.other	ESL-IC-07-11-32
dc.identifier.uri	https://hdl.handle.net/1969.1/6232
dc.description.abstract	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.	en
dc.publisher	Energy Systems Laboratory (http://esl.tamu.edu)
dc.publisher	Texas A&M University (http://www.tamu.edu)
dc.title	Use of Computational Intelligence in Illumination Systems Searching Energetic Efficiency	en
dc.contributor.sponsor	UFPA, Federal University of Para, Brazil