Mobile QR Code QR CODE : Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.

References

1 
Dussault J. M., Sourbron M., Gosselin L., 2016, Reduced energy consumption and enhanced comfort with smart windows: Comparison between quasi-optimal, predictive and rule-based control strategies, Energy and Buildings, Vol. 127, pp. 231-243DOI
2 
Peña M., Biscarri F., Guerrero J. I., Monedero I., 2016, Rule-based system to detect energy efficiency anomalies in smart buildings: A data mining approach, Expert Systems with Applications, Vol. 65, pp. 353-366DOI
3 
Yuce B., Rezgui Y., 2015, An ANN-GA semantic rule-based system to reduce the gap between predicted and actual energy consumption in buildings, IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 4, pp. 1155-1163Google Search
4 
Shen D., 2022, Smart lighting control system based on fusion of monocular depth estimation and multi-object detection, Energy and Buildings, Vol. 277, pp. 112485DOI
5 
Alghassab M. A., 2024, Fuzzy-based smart energy management system for residential buildings in Saudi Arabia: A comparative study, Energy Reports, Vol. 10, pp. 103-119DOI
6 
Tamani N., Ahvar S., Santos G., Istasse B., 2018, Rule-based model for smart building supervision and management, Proc. IEEE Int. Conf. Smart Energy Grid Engineering (SEGE), pp. 89-95Google Search
7 
Domahidi A., Ullmann F., Morari M., Jones C. N., 2014, Learning decision rules for energy efficient building control, Journal of Process Control, Vol. 24, No. 6, pp. 723-732DOI
8 
Michailidis P., Michailidis I., Minelli F., Coban H. H., 2025, Model Predictive Control for Smart Buildings: Applications and innovations in energy management, Buildings, Vol. 15, No. 18, pp. 3298DOI
9 
Alimohammadisagvand B., Jokisalo J., Sirén K., 2018, Comparison of four rule-based demand response control algorithms in an electrically and heat pump-heated residential building, Applied Energy, Vol. 209, pp. 167-179DOI
10 
Doukas H., Patlitzianas K. D., Iatropoulos K., 2007, Intelligent building energy management system using rule sets, Building and Environment, Vol. 42, No. 10, pp. 3562-3569DOI
11 
Salpakari J., Lund P., 2016, Optimal and rule-based control strategies for energy flexibility in buildings with PV, Applied Energy, Vol. 161, pp. 425-443DOI
12 
Zhu J., 2025, Machine learning-enhanced lightweight rule-based control strategy for building energy demand response, Building Simulation, Vol. 18, pp. 543-557DOI
13 
Behzadi A., 2022, Advancing an already high-performance smart building with model predictive control: Multi-layer optimization under forecast uncertainty in a real building case, Applied Energy, Vol. 402, pp. 126999Google Search
14 
Kabir S., Hossain M. S., Andersson K., 2024, An advanced explainable belief rule-based framework to predict the energy consumption of buildings, Energies, Vol. 17, No. 8, pp. 1797DOI
15 
Chen Z., Jiang C., Xie L., 2018, Building occupancy estimation and detection: A review, Energy and Buildings, Vol. 169, pp. 260-270DOI
16 
Gwerder M., 2013, Integrated predictive rule-based control of a Swiss office building, Society of Environmental EngineeringGoogle Search
17 
Huchuk B., Sanner S., O’Brien W., 2021, Development and evaluation of data-driven controls for residential smart thermostats, Energy and Buildings, Vol. 249, pp. 111201DOI