Smart LED Driver with Improved Power Quality and High Efficiency for Household Application

Jha, Aman; Kumar, Manoj

doi:10.1109/gucon.2018.8674943

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…The size of light intensity can use simulation with tools. Jha and Kumar [94] said that in LED development, there is a standard, namely EC 61000-3-2 Class C. Meeting these standards involves developing several intelligent solutions.…”

Section: Smart Lighting Technologies 1) Led Lightingmentioning

confidence: 99%

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

et al. 2022

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Smart lighting has become a universal smart product solution, with global revenues of up to US$5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) lighting, sensors, control, analytics, and intelligence. The Internet of things (IoT) concept with the end device, platform, and application layer plays an essential role in optimizing the advantages of LED lighting in the emergence of smart lighting. The ultimate aim of smart lighting research is to introduce low energy efficiency and high user comfort, where the latter is still in the infancy stage. This paper presents a systematic literature review (SLR) from a bird's eye view covering full-length research topics on smart lighting, including issues, implementation targets, technological solutions, and prospects. In addition to that, this paper also provides a detailed and extensive overview of emerging machine learning techniques as a key solution to overcome complex problems in smart lighting. A comprehensive review of improving user comfort is also presented, such as the methodology and taxonomy of activity recognition as a promising solution and user comfort metrics, including light utilization ratio, unmet comfort ratio, light to comfort ratio, power reduction rate, flickering perception, Kruithof's comfort curve, correlated color temperature, and relative mean square error. Finally, we discuss in-depth open issues and future challenges in increasing user comfort in smart lighting using activity recognition.

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Section: Smart Lighting Technologies 1) Led Lightingmentioning

confidence: 99%