Computerised control of artificial light for maximum use of daylight

Coley, David; Crabb, J.A.

doi:10.1177/096032719402600403

Cited by 5 publications

(1 citation statement)

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“…Crisp (1977) published the first study on an automatic daylight artificial light integration control strategy for energy savings while maintaining optimal task illuminance levels. Later, Coley and Crabb (1994) introduced the notion of real-time interior illuminance prediction and computerized artificial light control utilizing a selfcommissioning adaptive algorithm, which is considered the foundation for the model-based lighting control scheme. Subsequently, Rubinstein et al (1993) presented the first demonstration of the closed-loop photocell control system.…”

Section: Application Of Intelligent Models For Daylightartificial Lig...mentioning

confidence: 99%

A state-of-the-art artificial intelligent techniques in daylighting controller: models and performance

Grace Colaco,

Varghese,

Pearl Kurian

et al. 2023

STET

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Lighting designers are always on the quest to develop a lighting control strategy that is aesthetically pleasing, comfortable, and energy-efficient. In an indoor context, electric lighting blended with daylighting controls forms a quintessential component for improving the occupant’s comfort and energy efficiency. Application of soft computing techniques, adaptive predictive control theory, machine learning, HDR photography, and wireless networking have facilitated recent advances in intelligent building automation systems. The evolution and revolution from the 19th to the 21st century in developing daylighting control schemes and their outcomes are investigated. This review summarizes the state-of-the-art artificial intelligence techniques in daylighting controllers to optimize the performance of conventional photosensor-based control and camera-based control in commercial buildings. The past, current, and future trends are investigated and analyzed to determine the key factors influencing the controller design. This article intends to serve as a comprehensive literature review that would aid in creating promising new concepts in daylighting controllers.

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Section: Application Of Intelligent Models For Daylightartificial Lig...mentioning

confidence: 99%