Assessment of indoor illuminance and study on best photosensors' position for design and commissioning of Daylight Linked Control systems. A new method based on artificial neural networks
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DOI: 10.1016/j.energy.2018.04.106
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Cited by:
- Aris Tsangrassoulis & Lambros Doulos & Angelos Mylonas, 2021. "Simulating the Impact of Daytime Calibration in the Behavior of a Closed Loop Proportional Lighting Control System," Energies, MDPI, vol. 14(21), pages 1-22, October.
- Evangelos-Nikolaos D. Madias & Lambros T. Doulos & Panagiotis A. Kontaxis & Frangiskos V. Topalis, 2022. "Multicriteria decision aid analysis for the optimum performance of an ambient light sensor: methodology and case study," Operational Research, Springer, vol. 22(2), pages 1333-1361, April.
- Bonomolo, Marina & Zizzo, Gaetano & Ferrari, Simone & Beccali, Marco & Guarino, Stefania, 2021. "Empirical BAC factors method application to two real case studies in South Italy," Energy, Elsevier, vol. 236(C).
- Babak Zandi & Adrian Eissfeldt & Alexander Herzog & Tran Quoc Khanh, 2021. "Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems," Energies, MDPI, vol. 14(3), pages 1-16, January.
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Keywords
Indoor artificial lighting; Energy efficient lighting; Intelligent lighting control; Artificial neural network; Lighting measures reliability;All these keywords.
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