Open Access
Issue
Sust. Build.
Volume 7, 2024
Article Number 1
Number of page(s) 8
Section Advanced Daylight Systems and Lighting Performance
DOI https://doi.org/10.1051/sbuild/2024001
Published online 22 April 2024
  1. M. Tomita, K. Shimoyama, Y. Ehara, S. Yamada, T. Kokuryo, Rule extraction of home-energy devices in a smart home system, Trans. JSME 84, 1–9 (2018) [Google Scholar]
  2. J. García-Sanz-Calcedo, A. Al-Kassir, T.F. Yusaf, Economic and environmental impact of energy saving in healthcare buildings, Appl. Sci. 8, 1–13 (2018) [Google Scholar]
  3. B. Shirkhanghah, H.E. Kalehsar, The effect of soil-structure interaction on the along-wind response of high-rise buildings, ICE Proc. Struct. Build. 175, 1–38 (2022) [CrossRef] [Google Scholar]
  4. S. Wenninger, C. Kaymakci, C. Wiethe, Explainable long-term building energy consumption prediction using QLattice, Appl. Energ. 308, 1–13 (2022) [Google Scholar]
  5. A. Kaminska, A. Ożadowicz, Lighting control including daylight and energy efficiency improvements analysis, Energies 11, 1–18 (2018) [Google Scholar]
  6. F. Sun, J. Yu, Indoor intelligent lighting control method based on distributed multi-agent framework, Int. J. Light Electron Opt. 213, 1–10 (2020) [Google Scholar]
  7. T. Futagami, T. Yano, C. Huang, T. Enohara, Experimental evaluation for daylight-linked gradation lighting control using image‐based motion sensors, IEEJ T. Electr. Electr. 15, 723–732 (2020) [CrossRef] [Google Scholar]
  8. T.D. Farkas, T. Király, T. Pardy, T. Rang, G. Rang, Application of power line communication technology in street lighting control, Int. J. Design Nature Ecodyn. 13, 176–186 (2018) [CrossRef] [Google Scholar]
  9. S. Cesari, P. Valdiserri, M. Coccagna, S. Mazzacane, The energy saving potential of wide windows in hospital patient rooms, optimizing the type of glazing and lighting control strategy under different climatic conditions, Energies 13, 1–24 (2020) [Google Scholar]
  10. S. Smys, A. Basar, H. Wang, Artificial neural network based power management for smart street lighting systems, J. Artif. Intell. Capsule Netw. 2, 42–52 (2020) [CrossRef] [Google Scholar]
  11. G.Z. Abdelmessih, J. Marcos Alonso, M.A. Dalla Costa, Analysis, design, and experimentation of the active hybrid-series-parallel PWM dimming scheme for high-efficient off-line LED drivers, IET Power Electr. 12, 1697–1705 (2019) [CrossRef] [Google Scholar]
  12. M. Li, W. Wu, X. Yang, Research on fuzzy fractional order pid control of liquid temperature in displacement digester, J. Korea Techn. Assoc. Pulp Paper Ind. 52, 15–30 (2020) [Google Scholar]
  13. V. Tharanidharan, R. Sakthivel, Y. Ren, S.M. Anthoni, Robust finite-time PID control for discrete-time large-scale interconnected uncertain system with discrete-delay, MATCOM 192, 370–383 (2022) [Google Scholar]
  14. T. Znang, P. Lu, Design of brushed motor position loop control system based on incremental PID, Proc. Int. Conf. Artif. Life Robot. 26, 667–670 (2021) [CrossRef] [Google Scholar]
  15. Y. Arya, Automatic generation control of two-area electric power systems via optimal fuzzy PID with filter plus double integral controller, J. Franklin Instit. 355, 4583–4617 (2018) [CrossRef] [Google Scholar]
  16. W. Zeng, Q. Jiang, J. Xie, T. Yu, A functional variable universe fuzzy PID controller for load following operation of PWR with the multiple model, Ann. Nucl. Energy 140, 1–6 (2020) [Google Scholar]
  17. M.S. Jalaee, A. Ghaseminejad, S.A. Jalaee, N.A. Zarin, R. Derakhshani, A novel hybrid artificial intelligence approach to the future of global coal consumption using whale optimization algorithm and adaptive neuro-fuzzy inference system, Energies 15, 1–14 (2022) [Google Scholar]
  18. D. Sain, Real-time implementation and performance analysis of robust 2-DOF PID controller for Maglev system using pole search technique, J. Ind. Inf. Integr. 15, 183–190 (2018) [Google Scholar]
  19. M.M. Omran, V. Aziz, K. Youssef, Energy efficient lighting system, in 2019 21st Int. Middle East Pow. Syst. Conf. (MEPCON) (2019) pp. 307–310 [CrossRef] [Google Scholar]
  20. Z.A. Barkhordar, Evaluating the economy-wide effects of energy efficient lighting in the household sector of Iran, Energy Policy 127, 125–133 (2019) [CrossRef] [Google Scholar]
  21. H. Liu, N. Zheng, Y. Wang, J. Li, Z. Zhang, Y. Li, J. Lan, Development of a face recognition system and its intelligent lighting compensation method for dark-field application, IEEE Trans. Instrum. Meas. 70, 1–16 (2021) [Google Scholar]
  22. S. Yi, J. Li, X. Ou, Q. Zhou, J. Li, Design of intelligent lighting controller based on bluetooth, in 2019 IEEE Int. Conf. on Service Operations and Logistics, and Informatics (SOLI) (2019), pp. 1–4 [Google Scholar]
  23. L. Li, J. Wang, S. Yang, H. Gong, Binocular stereo vision based illuminance measurement used for intelligent lighting with LED, Optik − Int. J. Light Electron. Opt. 237, 1–17 (2021) [Google Scholar]

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