Machine learning methods in smart lighting toward achieving user comfort: a survey

AG Putrada, M Abdurohman, D Perdana… - IEEE access, 2022 - ieeexplore.ieee.org
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) …

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

M Füchtenhans, EH Grosse… - International Journal of …, 2021 - Taylor & Francis
Artificial lighting is a constant companion in everyday private and working life, influencing
visibility in interior spaces as well as outdoors. In recent years, new technical solutions have …

Daylight adaptive smart indoor lighting control method using artificial neural networks

A Seyedolhosseini, N Masoumi, M Modarressi… - Journal of Building …, 2020 - Elsevier
Accurate and efficient adjustment of maintained illuminance and illuminance uniformity in
indoor environments with daylight variations is a tremendous challenge, mainly due to the …

Honeycomb: An open-source distributed system for smart buildings

T **ng, H Yan, K Sun, Y Wang, X Wang, Q Zhao - Patterns, 2022 - cell.com
Restricted by the hierarchical and centralized system architecture, smart buildings face
challenges such as limited adaptability and robustness, single application functionalities …

An interior-points algorithm for color and CCT control of multichannel LED lighting system using a Smart 18-Channel Spectral Sensor

A Goudjil, E Pigeon, M Pouliquen, T Menard… - Energy and …, 2023 - Elsevier
In this paper we provide a simple and cost-effective control scheme for controlling a colored
light ambience or Correlated Color Temperature (CCT) in a room at least partially lit up by a …

Lighting controls: Evolution and revolution

A Pandharipande… - Lighting Research & …, 2018 - journals.sagepub.com
The basic function of a lighting system is to provide a defined amount of light to a space
according to context-appropriate design criteria while minimising energy use. Lighting …

[HTML][HTML] A power-efficient self-calibrating smart lighting system

Y Aussat, A Rosmanis, S Keshav - Energy and Buildings, 2022 - Elsevier
Lighting load accounts for a significant portion of overall energy consumption in office
buildings. To reduce this load, we have designed and built a smart self-calibrating lighting …

Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system

K Gong, J Yang, X Wang, C Jiang, Z **ong, M Zhang… - Frontiers in Energy, 2022 - Springer
Smart buildings have been proven to be a kind of flexible demand response resources in the
power system. To maximize the utilization of the demand response resources, such as the …

Efficient photodetector placement for daylight-responsive smart indoor lighting control systems

A Seyedolhosseini, M Modarressi, N Masoumi… - Journal of Building …, 2021 - Elsevier
With continuous increase in energy consumption worldwide, design of smart lighting system
to reduce electricity consumption have been a pressing issue. This research focuses on …

Indoor intelligent lighting control method based on distributed multi-agent framework

F Sun, J Yu - Optik, 2020 - Elsevier
In this paper, an indoor intelligent lighting control method based on distributed multi-agent
framework is proposed. The distributed multi-agent framework adopts the decentralized star …