Open Access
Issue |
MATEC Web Conf.
Volume 282, 2019
4th Central European Symposium on Building Physics (CESBP 2019)
|
|
---|---|---|
Article Number | 02069 | |
Number of page(s) | 6 | |
Section | Regular Papers | |
DOI | https://doi.org/10.1051/matecconf/201928202069 | |
Published online | 06 September 2019 |
- B. L. Ahn, C. Y. Jang, S. B. Leigh, S. Yoo, H. Jeong, Effect of LED lighting on the cooling and heating loads in office buildings, Appl. Energ., 113, 1484-1489 (2014) [CrossRef] [Google Scholar]
- Z. Wang, Y. K. Tan, Illumination control of LED systems based on neural network model and energy optimization algorithm, Energ. Buildings, 62, 514-521 (2013) [CrossRef] [Google Scholar]
- N. K. Kandasamy, G. Karunagaran, C. Spanos, K. J. Tseng, B. H. Soong, Smart lighting system using ANN-IMC for personalized lighting control and daylight harvesting, Build. Environ., 139, 170-180 (2018) [CrossRef] [Google Scholar]
- A. Paulauskaite-Taraseviciene, N. Morkevicius, A. Janaviciute, A. Liutkevicius, A. Vrubliauskas, E. Kazanavicius, The Usage of Artificial Neural Networks for Intelligent Lighting Control Based on Resident’s Behavioural Pattern, Elektron. Elektrotech., 21(2), 72-79 (2015) [Google Scholar]
- Y. Chen, Q. Sun, Artificial intelligent control for indoor lighting basing on person number in classroom, 9th Asian Control Conference (ASCC), Istanbul (2013) [Google Scholar]
- D. Tran, Y. K. Tan, Sensorless Illumination Control of a Networked LED-Lighting System Using Feedforward Neural Network, IEEE T. Ind. Electron., 61(4), 2113-2121 (2014) [CrossRef] [Google Scholar]
- V. Lobato-Ríos, V. del Rocío Hernández-Castañón, J. A. Carrasco-Ochoa, J. F. Martínez-Trinidad, Linear model optimizer vs Neural Networks: A comparison for improving the quality and saving of LED-Lighting control systems, 23rd International Conference on Pattern Recognition (ICPR), 2664-2669 (2016) [Google Scholar]
- J. van Duijnhoven, C. de Bakker, M. P. J. Aarts, A. L. P. Rosemann, H. S. M. Kort, An unobtrusive practical method to derive individual‘s lighting conditions in office environments, 14th International Conference on Networking, Sensing and Control, IEEE, 471-475 (2017) [Google Scholar]
- P. R. Boyce, N. H. Eklund, N. S. Simpson, Individual Lighting Control: Task Performance, Mood, and Illuminance, J. Illum. Eng. Soc., 29(1), 131-142 (2000) [CrossRef] [Google Scholar]
- J. A. Veitch; G. R. Newsham; P. R.Boyce; C. C. Jones, Lighting appraisal, well-being, and performance in open-plan offices: A linked mechanisms approach, Lighting Res. Technol., 40(2), 133-151 (2008) [CrossRef] [Google Scholar]
- A. Romańska-Zapała, M. Bomberg, M. Fedorczak-Cisak, M. Furtak, D. Yarbrough, M. Dechnik, Buildings with environmental quality management, part 2: Integration of hydronic heating/cooling with thermal mass, J. Build. Phys., 41(5), 397-417 (2018) [Google Scholar]
- D. W. Yarbrough, M. Bomberg, A. Romańska-Zapała, Buildings with environmental quality management, part 3: From log houses to environmental quality management zero-energy buildings, J. Build. Phys. (online) [Google Scholar]
- A. Romańska-Zapała, M. Bomberg, D. W. Yarbrough, Buildings with environmental quality management: Part 4: A path to the future NZEB, J. Build. Phys. (online) [Google Scholar]
- C. de Bakker, M. B. C. Aries, H. S. M. Kort, A. L. P. Rosemann, Practical relevance of lighting control strategies in open-plan offices, INSide Information magazine TU/e, 06/2016, 16-17 (2016) [Google Scholar]
- J. Bartman, Podstawowe funkcje biblioteki narzędziowej ”Neural Network Toolbox. Version 5” pakietu MATLAB v.6, Uniwersytet Rzeszowski, Zakład Elektrotechniki i Informatyki, online [Google Scholar]
- M. Dudzik, Contemporary methods of designing, validation and modeling of the phenomena of electrical traction; monograph, Cracow University of Technology, Kraków, Wydaw. PK (2018) [Google Scholar]
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