IEEE Systems, Man and Cybernetics Magazine - April 2021 - 34

[9] S. Barbhuiya and S. Barbhuiya, " Thermal comfort and energy consumption in a U.K.

[28] Y. Qiao et al., " Data-driven approach to optimal control of ACC systems and layout

educational building, " Build. Environ., vol. 68, pp. 1-11, Oct., 2013. doi: 10.1016/j.build-

design in large rooms with thermal comfort consideration by using PSO, " J. Clean. Prod.,

env.2013.06.002.

vol. 236, p. 117,578, Nov. 2019. doi: 10.1016/j.jclepro.2019.07.053.

[10] C.-M. C. Hsing-Hao Chen, " The study of low carbon strategies for sustainable

[29] P. N. S. S. Zhao, S. Pal, A. Basak, and S. Das, " Multi objective design of monopulse

campus in Taiwan, " in Proc. 2011 Int. Conf. Multimedia Technol., Hangzhou, China, pp.

antenna with two-lbests based multi-objective particle swarm optimizer, " in Proc. Int.

6626-6629. doi: 10.1109/ICMT.2011.6003314.

Conf. Computat. Problem-Solving, Lijiang, China, 2010, pp. 209-214.

[11] " 2011 buildings energy data book (U.S. Department of Energy). " Institute for Energy

[30] S. K. Goudos, K. Siakavara, and J. N. Sahalos, " Novel spiral antenna design using

and Environmental Research. Mar. 2012. https://ieer.org/resource/energy-issues/2011

artificial bee colony optimization for UHF RFID applications, " IEEE Antennas Wireless

-buildings-energy-data-book/

Propag. Lett., vol. 13, pp. 528-531, Mar., 2014. doi: 10.1109/LAWP.2014.2311653.

[12] M. Gustafsson et al., " Energy performance comparison of three innovative HVAC

[31] L. Cui et al., " A ranking-based adaptive artificial bee colony algorithm for global

systems for renovation through dynamic simulation, " Energ. Build., vol. 82, pp. 512-519,

numerical optimization, " Inf. Sci., vol. 417, pp. 169-185, Nov., 2017. doi: 10.1016/j.

Oct., 2014. doi: 10.1016/j.enbuild.2014.07.059.

ins.2017.07.011.

[13] Z. Romani, A. Draoui, and F. Allard, " Metamodeling the heating and cooling energy

[32] X. Li, S. Ma, and G. Yang, " Synthesis of difference patterns for monopulse antennas

needs and simultaneous building envelope optimization for low energy building design in

by an improved cuckoo search algorithm, " IEEE Antennas Wireless Propag. Lett., vol. 16,

Morocco, " Energ. Build., vol. 102, pp. 139-148, Sept., 2015. doi: 10.1016/j.enbuild.2015.04.014.

pp. 141-144, Dec. 2016. doi: 10.1109/LAWP.2016.2640998.

[14] D. F. Motta Cabrera and H. Zareipour, " Data association mining for identifying light-

[33] J. Zhao, S. Liu, M. Zhou, X. Guo, and L. Qi, " An improved binary cuckoo search algo-

ing energy waste patterns in educational institutes, " Energ. Build., vol. 62, pp. 210-216,

rithm for solving unit commitment problems: Methodological description, " IEEE Access,

July, 2013. doi: 10.1016/j.enbuild.2013.02.049.

vol. 6, pp. 43,535-43,545, Aug. 2018. doi: 10.1109/ACCESS.2018.2861319.

[15] P. Anand, D. Cheong, C. Sekhar, M. Santamouris, and S. Kondepudi, " Energy saving

[34] D. Helbing, " A ﬂuid-dynamic model for the movement of pedestrians, " Complex

estimation for plug and lighting load using occupancy analysis, " Renew. Energ., vol. 143,

Syst., vol. 6, no. 5, pp. 391-415, 1992.

pp. 1143-1161, Dec., 2019. doi: 10.1016/j.renene.2019.05.089.

[35] D. Helbing and P. Molnar, " Social force model for pedestrian dynamics, " Phys Rev

[16] K. Yu, Z. Cao, and Y. Liu, " Research on the optimization control of the central air-

E Stat Phys Plasmas Fluids Relat Interdiscip Topics, vol. 51, no. 5, pp. 4282-4286, May,

conditioning system in university classroom buildings based on TRNSYS software, " Proce-

1995. doi: 10.1103/physreve.51.4282.

dia Eng., vol. 205, pp. 1564-1569, Jan., 2017. doi: 10.1016/j.proeng.2017.10.261.

[36] D. Helbing and P. Molnar, " Self-organization phenomena in pedestrian crowds, " June

[17] K. Song, S. Kim, M. Park, and H.-S. Lee, " Energy efficiency-based course timeta-

1998. [Online]. Available: https://arxiv.org/abs/cond-mat/9806152 doi: 10.1007/978-3-642-

bling for university buildings, " Energy, vol. 139, pp. 394-405, Nov., 2017. doi: 10.1016/j.

24004-1_3.

energy.2017.07.176.

[37] X.-S. Yang and S. Deb, " Cuckoo search via Levy flights, " in Proc. 2009 World Congress

[18] S. A. Ghita and T. Catalina, " Energy efficiency versus indoor environmental quality in

on Nature & Biologically Inspired Computing (NaBIC), Coimbatore, India, Dec. 2009,

different Romanian countryside schools, " Energ. Build., vol. 92, pp. 140-154, Apr., 2015.

pp. 210-214. doi: 10.1109/NABIC.2009.5393690.

doi: 10.1016/j.enbuild.2015.01.049.

[38] T. Thepphakorn and P. Pongcharoen, " Performance improvement strategies on

[19] D. Yan et al., " Occupant behavior modeling for building performance simulation:

Cuckoo Search algorithms for solving the university course timetabling problem, " Expert

Current state and future challenges, " Energ. Build., vol. 107, pp. 264-278, Nov., 2015. doi:

Syst. Appl., vol. 161, p. 113,732, Dec., 2020. doi: 10.1016/j.eswa.2020.113732.

10.1016/j.enbuild.2015.08.032.

[39] X.-S. Yang and S. Deb, " Cuckoo search: Recent advances and applications, " Neural

[20] N. Djongyang, R. Tchinda, and D. Njomo, " Thermal comfort: A review paper, "

Comput. Appl., vol. 24, no. 1, pp. 169-174, 2013. doi: 10.1007/s00521-013-1367-1.

Renew. Sustain. Energ. Rev., vol. 14, no. 9, pp. 2626-2640, Dec., 2010. doi: 10.1016/j.

[40] J. Wang and B. Zhou, " A hybrid adaptive cuckoo search optimization algorithm for

rser.2010.07.040.

the problem of chaotic systems parameter estimation, " Neural Comput. Appl., vol. 27, no.

[21] W. O'Brien, H. B. Gunay, F. Tahmasebi, and A. Mahdavi, " A preliminary study of rep-

6, pp. 1511-1517, 2015. doi: 10.1007/s00521-015-1949-1.

resenting the inter-occupant diversity in occupant modelling, " J. Build. Perform., vol. 10,

[41] E. Valian, S. Mohanna, and S. Tavakoli, " Improved Cuckoo search algorithm for feed

no. 5-6, pp. 509-526, 2017. doi: 10.1080/19401493.2016.1261943.

forward neural network training, " Int. J. Artific. Intell. Appl., vol. 2, no. 3, pp. 36-43, 2011.

[22] Y. Hou, N. Wu, Z. Li, Y. Zhang, T. Qu, and Q. Zhu, " Many-objective optimization for

doi: 10.5121/ijaia.2011.2304.

scheduling of crude oil operations based on NSGA-III with consideration of energy effi-

[42] Z. Chang, Y. Zhang, and W. Chen, " Electricity price prediction based on hybrid model

ciency, " Swarm Evol. Computat., vol. 57, Sept., 2020. doi: 10.1016/j.swevo.2020.100714.

of adam optimized LSTM neural network and wavelet transform, " Energy, vol.  187, p.

[23] D. Panda and M. Ramteke, " Preventive crude oil scheduling under demand uncer-

115,804, Nov., 2019. doi: 10.1016/j.energy.2019.07.134.

tainty using structure adapted genetic algorithm, " Appl. Energ., vol. 235, pp. 68-82, Feb.,

[43] K-c Miao et al., " Application of LSTM for short term fog forecasting based on meteo-

2019. doi: 10.1016/j.apenergy.2018.10.121.

rological elements, " Neurocomputing, vol. 408, pp. 285-291, Sept. 2020. doi: 10.1016/j.

[24] R. Zarrouk, M. Ettouil, I. Bennour, and A. Jemai, " Towards an embedded distributed

neucom.2019.12.129.

implementations of PSO solutions for the flexible job shop problem, " Proc. Comput. Sci.,

[44] G. Memarzadeh and F. Keynia, " A new short-term wind speed forecasting method

vol. 73, pp. 146-153, Jan., 2015. doi: 10.1016/j.procs.2015.12.060.

based on fine-tuned LSTM neural network and optimal input sets, " Energ. Convers. Man-

[25] C. Hu, X. Yan, W. Gong, X. Liu, L. Wang, and L. Gao, " Multi-objective based scheduling

age., vol. 213, p. 112,824, June, 2020. doi: 10.1016/j.enconman.2020.112824.

algorithm for sudden drinking water contamination incident, " Swarm Evol. Computat.,

[45] S. Gao et al., " Short-term runoff prediction with GRU and LSTM networks without

vol. 55, p. 100,674, June, 2020. doi: 10.1016/j.swevo.2020.100674.

requiring time step optimization during sample generation, " J. Hydrol., vol. 589, p.

[26] N. Javaid et al., " An intelligent load management system with renewable energy inte-

125,188, Oct. 2020. doi: 10.1016/j.jhydrol.2020.125188.

gration for smart homes, " IEEE Access, vol. 5, pp. 13,587-13,600, June 2017. doi: 10.1109/

[46] P. Lyu, N. Chen, S. Mao, and M. Li, " LSTM based encoder-decoder for short-term pre-

ACCESS.2017.2715225.

dictions of gas concentration using multi-sensor fusion, " Process Saf. Environ. Protect.,

[27] G. K. V. Y. Valle, S. Mohagheghi, J. C. Hernandez, and R. G. Harley, " Particle swarm

vol. 137, pp. 93-105, May, 2020. doi: 10.1016/j.psep.2020.02.021.

optimization: Basic concepts, variants and applications in power systems, " IEEE Trans.

[47] A. Graves, Supervised Sequence Labelling with Recurrent Neural Networks.

Evol. Comput., vol. 12, no. 2, pp. 171-195, Apr., 2008. doi: 10.1109/TEVC.2007.896686.

Canada: Springer, 2012, pp. 37-44. 	

34	

IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE Apri l 2021
https://ieer.org/resource/energy-issues/2011-buildings-energy-data-book/ https://ieer.org/resource/energy-issues/2011-buildings-energy-data-book/ https://www.arxiv.org/abs/cond-mat/9806152
IEEE Systems, Man and Cybernetics Magazine - April 2021

Table of Contents for the Digital Edition of IEEE Systems, Man and Cybernetics Magazine - April 2021
