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A Numerical Analysis Based Internet of Things (IoT) and Big Data Analytics to Minimize Energy Consumption in Smart Buildings

Open Access
|Jun 2024

References

  1. C. K. Metallidou, K. E. Psannis, E. A. Egyptiadou, “Energy Efficiency in Smart Buildings: IoT Approaches, Journals & Magazines,” IEEE Access, vol. 8, March 11, 2020. doi: 10.1109/ACCESS.2020.2984461.
  2. L. P. C. Zangheri, D. Paci, M. N. E. Labanca, S. T. Ribeiro, S. Panev, P. Zancanella, and J.-S. Broc, “Assessment of Second Long-Term Renovation Strategies Under the Energy Efficiency Directive,” Luxembourg, U.K.: Publications Office of the European Union, 2019. Available: https://ec.europa.eu/jrc/en/publication/assessmentsecond-long-term-renovation-strategies-underenergy-efficiency-directive
  3. A. P. Plageras, K. E. Psannis, C. Stergiou, H. Wang, and B. B. Gupta, “Efficient IoT-based sensor big data collection–processing and analysis in smart buildings,” Future Gener. Comput. Syst., vol. 82, pp. 349–357, May 2018. doi: 10.1016/j.future.2017.09.082.
  4. R. Wegmueller, G. Magnin, J. Robadey, and E.-L. Niederhauser, “Controlled active thermal storage in smart PCM walls for energy independent building applications,” in Proc. 5th Int. Conf. Renew. Energy, Gener. Appl. (ICREGA), Al Ain, United Arab Emirates, Feb. 2018, pp. 154–157, doi: 10.1109/ICREGA.2018.8337575.
  5. N. Khan, N. Pathak, and N. Roy, “Detecting common insulation problems in built environments using thermal images,” in Proc. IEEE Int. Conf. Smart Comput. (SMARTCOMP), Washington, DC, USA, Jun. 2019, pp. 454–458, doi: 10.1109/SMARTCOMP.2019.00087.
  6. M. Sophocleous, P. Savva, M. F. Petrou, J. K. Atkinson, and J. Georgiou, “A durable, screenprinted sensor for in situ and real-time monitoring of concrete’s electrical resistivity suitable for smart buildings/cities and IoT,” IEEE Sensors Lett., vol. 2, no. 4, pp. 1–4, Dec. 2018, doi: 10. 1109/LSENS.2018.2871517.
  7. A. Kumar, A. Kumar, and A. Singh, “Energy efficient and low cost air quality sensor for smart buildings,” in Proc. 3rd Int. Conf. Comput. Intell. Commun. Technol. (CICT), Feb. 2017, pp. 1–4, doi: 10. 1109/CIACT.2017.7977310.
  8. N. Haidar, N. Tamani, F. Nienaber, M. T. Wesseling, A. Bouju, and Y. Ghamri-Doudane, “Data collection period and sensor selection method for smart building occupancy prediction,” in Proc. IEEE 89th Veh. Technol. Conf. (VTC-Spring), Apr. 2019, pp. 1–6, doi: 10. 1109/VTCSpring.2019.8746447.
  9. S. Antonov, “Smart solution for fire safety in a large garage,” in Proc. Int. Conf. Creative Bus. Smart Sustain. Growth (CREBUS), Sandanski, Bulgaria, Mar. 2019, pp. 1–4, doi: 10.1109/CREBUS. 2019.8840089.
  10. G. Cavalera, R. C. Rosito, V. Lacasa, M. Mongiello, F. Nocera, L. Patrono, and I. Sergi, “An innovative smart system based on IoT technologies for fire and danger situations,” in Proc. 4th Int. Conf. Smart Sustain. Technol. (SpliTech), Split, Croatia, Jun. 2019, pp. 1–6, doi: 10.23919/SpliTech.2019.8783059.
  11. P. G. Jeyasheeli, and J. V. J. Selva, “An IOT design for smart lighting in green buildings based on environmental factors,” in Proc. 4th Int. Conf. Adv. Comput. Commun. Syst. (ICACCS), Coimbatore, India, Jan. 2017, pp. 1–5, doi: 10.1109/ICACCS.2017.8014559.
  12. A. Pandharipande, M. Zhao, and E. Frimout, “Connected indoor lighting based applications in a building IoT ecosystem,” IEEE Internet Things Mag., vol. 2, no. 1, Mar. 2019, pp. 22–26, doi: 10.1109/IOTM.2019.1900016.
  13. A. Zakharov, A. Romazanov, A. Shirokikh, and I. Zakharova, “Intellectual data analysis system of building temperature mode monitoring,” in Proc. Int. Russian Autom. Conf. (RusAutoCon), Sochi, Russia, Sep. 2019, pp. 1–6, doi: 10.1109/RUSAUTOCON.2019.8867611.
  14. N. M. Elsayed, R. A. Swief, S. O. Abdellatif, and T. S. Abdel-Salam, “Photovoltaic applications for lighting load energy saving: Case studies, educational building,” in Proc. Int. Conf. Innov. Trends Comput. Eng. (ITCE), Aswan, Egypt, Feb. 2019, pp. 564–569, doi: 10.1109/ITCE.2019.8646485.
  15. P. D. Leo, F. Spertino, S. Fichera, G. Malgaroli, and A. Ratclif, “Improvement of self-sufficiency for an innovative nearly zero energy building by photovoltaic generators,” in Proc. IEEE Milan PowerTech, Milan, Italy, Jun. 2019, pp. 1–6, doi: 10.1109/PTC.2019.8810434.
  16. K. R. Babu, and C. Vyjayanthi, “Implementation of net zero energy building (NZEB) prototype with renewable energy integration,” in Proc. IEEE Region 10 Symp. (TENSYMP), Kochi, India, Jul. 2017, pp. 1–5, doi: 10.1109/TENCONSpring. 2017.8069994.
  17. I. Ilhan, M. Karakose, and M. Yavas, “Design and simulation of intelligent central heating system for smart buildings in smart city,” in Proc. 7th Int. Istanbul Smart Grids Cities Congr. Fair (ICSG), Istanbul, Turkey, Apr. 2019, pp. 233–237, doi: 10.1109/SGCF.2019.8782356.
  18. T. Sonnekalb and S. Lucia, “Smart hot water control with learned human behavior for minimal energy consumption,” in Proc. IEEE 5th World Forum Internet Things (WF-IoT), Limerick, Republic of Ireland, Apr. 2019, pp. 572–577, doi: 10.1109/WF-IoT.2019.8767171.
  19. D. Alulema, M. Zapata, and M. A. Zapata, “An IoT-based remote monitoring system for electrical power consumption via Web-application,” in Proc. Int. Conf. Inf. Syst. Comput. Sci. (INCISCOS), Quito, Ecuador, Nov. 2018, pp. 193–197, doi: 10.1109/INCISCOS.2018.00035.
  20. A. M. Ali, S. A. A. Shukor, N. A. Rahim, Z. M. Razlan, Z. A. Z. Jamal, and K. Kohlhof, “IoT-based smart air conditioning control for thermal comfort,” in Proc. IEEE Int. Conf. Autom. Control Intell. Syst. (I2CACIS), Selangor, Malaysia, Jun. 2019, pp. 289–294, doi: 10.1109/I2CACIS.2019.8825079.
  21. G. Alsuhli and A. Khattab, “A fog-based IoT platform for smart buildings,” in Proc. Int. Conf. Innov. Trends Comput. Eng. (ITCE), Aswan, Egypt, Feb. 2019, pp. 174–179, doi: 10.1109/ITCE.2019.8646480.
  22. X. Zhang, M. Pipattanasomporn, T. Chen, and S. Rahman, “An IoT-based thermal model learning framework for smart buildings,” IEEE Internet Things J., vol. 7, no. 1, Jan. 2020, pp. 518–527, doi: 10.1109/JIOT.2019.2951106.
  23. J. Aguilar, A. Garces-Jimenez, N. Gallego-Salvador, J. A. G. De Mesa, J. M. Gomez-Pulido, and A. J. Garcia-Tejedor, “Autonomic management architecture for multi-HVAC systems in smart buildings,” IEEE Access, vol. 7, 2019, pp. 123402–123415, doi: 10.1109/ACCESS.2019.2937639.
  24. S. Rastegarpour, M. Ghaemi, and L. Ferrarini, “A predictive control strategy for energy management in buildings with radiant floors and thermal storage,” in Proc. SICE Int. Symp. Control Syst. (SICE ISCS), Tokyo, Japan, Mar. 2018, pp. 67–73, doi: 10.23919/SICEISCS.2018.8330158.
  25. A. Gillespie, T. F. Xulu, S. I. Noubissie Tientcheu, and S. D. Chowdhury, “Building design considerations for an energy efficient HVAC system,” in Proc. IEEE PES/IAS PowerAfrica, Cape Town, South Africa, Jun. 2018, pp. 1–6, doi: 10.1109/PowerAfrica.2018.8520995.
  26. B. Seng, C. Magniont, S. Spagnol, and S. Lorente, “Evaluation of hemp concrete thermal properties,” in Proc. Int. IEEE Conf. Ubiquitous Intell. Comput., Adv. Trusted Comput., Scalable Comput. Commun., Cloud big data Comput., Internet People, Smart World Congr. (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), Toulouse, France, Jul. 2016, pp. 984–989, doi: 10.1109/UIC-ATC-ScalComCBDCom-IoPSmartWorld. 2016.0154.
  27. El Mallahi, I., Riffi, J., Tairi, H., Ez-Zahout, A., and Mahraz, M. A. . (2023). A Distributed Big Data Analytics Models for Traffic Accidents Classification and Recognition based SparkMlLib Cores. Journal of Automation, Mobile Robotics and Intelligent Systems, 16(4), 62-71. doi: 10.14313/JAMRIS/4-2022/34.
  28. Rahman Shafique, Furqan Rustam, Sheriff Murtala, Anca Delia Jurcut, Gyu Sang Choi, “Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity”, IEEE Access, vol. 12, pp. 25933–25948, 2024.
  29. Nassim Sohaee, Shahram Bohluli, “Nonlinear Analysis of the Effects of Socioeconomic, Demographic, and Technological Factors on the Number of Fatal Traffic Accidents”, Safety, vol. 10, no. 1, pp. 11, 2024
  30. I. E. Mallahi, A. Dlia, J. Riffi, M. A. Mahraz and H. Tairi, “Prediction of Traffic Accidents using Random Forest Model,” 2022 International Conference on Intelligent Systems and Computer Vision (ISCV), Fez, Morocco, 2022, pp. 1–7, doi: 10.1109/ISCV54655.2022.9806099.
  31. Nasry, A., Ezzahout, A., and Omary, F. . (2023). People Tracking in Video Surveillance Systems Based on Artificial Intelligence. Journal of Automation, Mobile Robotics and Intelligent Systems, 17(1), 59–68. doi: 10.14313/JAMRIS/1-2023/8.
  32. Ndayikengurukiye, A., Ez-zahout, A., Aboubakr, A., Charkaoui, Y., and Fouzia, O. (2022). Resource Optimisation in Cloud Computing: Comparative Study of Algorithms Applied to Recommendations in a Big Data Analysis Architecture. Journal of Automation, Mobile Robotics and Intelligent Systems, 15(4), 65–75. doi: 10.14313/JAMRIS/4-2021/28.
DOI: https://doi.org/10.14313/jamris/2-2024/12 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 46 - 56
Submitted on: Apr 3, 2023
Accepted on: Sep 16, 2023
Published on: Jun 23, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Amal Zouhri, Abderahamane Ez‑Zahout, Said Chakouk, Mostafa El Mallahi, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.