Arzu Cilasun KunduraciTugce KazanasmazCılasun Kunduracı, ArzuKunduraci, Arzu CilasunKazanasmaz, Z. Tugce2025-10-06201914230070, 1420326X1420-326X1423-007010.1177/1420326X177037722-s2.0-85042416301https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042416301&doi=10.1177%2F1420326X17703772&partnerID=40&md5=d5ce6347c003f03b2de13b1e2ba65e4ehttps://gcris.yasar.edu.tr/handle/123456789/9408https://doi.org/10.1177/1420326X17703772In considering total building energy consumption lighting plays an important role in shaping energy consumption and use. Although key strategies (such as energy efficient lighting products lighting control systems and energy simulation software) are developed so far such attempts may be unsuccessful unless users are not taken into consideration. Users’ behaviours and their manual lighting control actions depend on various factors though within the scope of this study manual lighting control behaviour was analysed only in terms of interior layout and daylight illuminance. Three private offices in Izmir Institute of Technology were monitored using illuminance metres and occupancy/light detectors under eight different interior layout conditions. In relation to change of interior layout and daylight penetrations users’ manual lighting control behaviours were monitored. The obtained data were then used to construct a fuzzy logic model in MATLAB FIS editor. A fuzzy logic algorithm was applied to classify behaviour patterns about the tendency to turn on the lights. This kind of prediction of the light usage tendency regarding the occupancy is aimed to foresee the ‘possible’ manual lighting control behaviour within given conditions. The gathered classification can be used further in future studies of manual lighting control behaviour and energy-saving estimations/simulations. © 2019 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/openAccessBehaviour Pattern, Daylight Illuminance, Fuzzy Logic Model, Interior Layout, Manual Lighting Control, Algorithm, Article, Behavior, Building, Data Analysis Software, Energy Consumption, Environmental Monitoring, Fuzzy System, Illumination, Machine Learning, Mathematical Model, Mathematical Parameters, Priority Journal, Simulation, Social Aspect, Sunlightalgorithm, Article, behavior, building, data analysis software, energy consumption, environmental monitoring, fuzzy system, illumination, machine learning, mathematical model, mathematical parameters, priority journal, simulation, social aspect, sunlightInterior LayoutDaylight IlluminanceBehaviour PatternManual Lighting ControlFuzzy Logic ModelArticle