References
- Y. Li, L. Wu, H. Jia, & Z. Chen. “Smart Grid: Architecture, Key Technologies, and Research Areas.” IEEE Access, vol. 6, 54407–54422, 2018.
- A. H. Gandomi, & A. R. Kashani. “A New Evolutionary Solution for Short-term Scheduling of Smart Grids Integrated with Renewable Energy Resources.” Energy Conversion and Management, vol. 89, 379–393, 2015.
- M. Zaharieva & S. Rohjans. “Machine Learning for Predictive Maintenance of Renewable Energy Systems in Smart Grids.” Energies, vol. 12, no. 24, 4651, 2019.
- A. Zahedi. “Machine Learning Applications In Smart Grids: A Review.” Energies, 12(7), 1242, 2019.
- 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/SM ARTCOMP.2019.00087.
- M. Sophocleous, P. Savva, M. F. Petrou, J. K. Atkinson, and J. Georgiou, “A Durable, Screen-Printed Sensor For In Situ And Real-Time Monitoring Of Concrete’s Electrical Resistivity Suitable For Smart Buildings/Cities And Iot”, IEEE SensorsLett., vol. 2, no. 4, pp. 1–4, Dec. 2018, doi: 10.1 109/LSENS.2018.2871517.
- 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), Ghaziabad, India, Feb. 2017, pp. 1–4, doi: 10.1109/CIACT.2017.79773 10.
- 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), Kuala Lumpur, Malaysia, Apr. 2019, pp. 1–6, doi: 10.1 109/VTCSpring.2019.8746447.
- S. Antonov, “Smart Solution For Fire Safety In A Large Garage”, in Proc. Int. Conf. Creative Bus. SmartSustain. Growth (CREBUS), Sandanski, Bulgaria, Mar. 2019, pp. 1–4, doi: 10.1109/CREBUS.2019.8840089.
- 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.
- 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, 10.1109/ICAC CS.2017.8014559.
- 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, pp. 22–26, Mar. 2019, 10.1109/IOTM.2019.1900016.
- 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, 10.1109/RUSAUTOCON.2019.8867611.
- 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, 10.1109/ITCE.2019.8646485.
- 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, 10.1109/PTC.2019.8810434.
- 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, 10.1109/TENCONSpring.2017.8069994.
- 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), stanbul, Turkey, Apr. 2019, pp. 233–237, 10.1109/SGCF.2019.8782356.
- 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, 10.1109/WF-IoT.2019.8767171.
- 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, 10.1109/INCISCOS.2018.00035.
- 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, 10.1109/I2CACIS.2019.8825079.
- 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, 10.1109/ITCE.201 9.8646480.
- X. Zhang, M. Pipattanasomporn, T. Chen, and S. Rahman, “An Iotbased Thermal Model Learning Framework For Smart Buildings”, IEEE Internet ThingsJ., vol. 7, no. 1, pp. 518–527, Jan. 2020, 10.1109/JIOT.2019.2951106.
- 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, pp. 123402–123415, 2019, 10.1109/ACCESS.2019.2937639.
- 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. ControlSyst. (SICE ISCS), Tokyo, Japan, Mar. 2018, pp. 67–73, 10.23919/SICEISCS.2018.8330158.
- A. Gillespie, T. F. Xulu, S. I. Noubissie Tientcheu, and S. Daniel 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, 10.1 109/PowerAfrica.2018.8520995.
- 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, 10.1109/UIC-ATC-ScalComCBDCom-IoP-SmartWorld.2016.0154.
- R. Jarvis & P. Moses, “Smart Grid Congestion Caused by Plug-in Electric Vehicle Charging.” In Proceedings of the 2019 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 7–8 February 2019; pp. 1-5. [CrossRef]
- S. Rafiei & A. Bakhshai, “A Review On Energy Efficiency Optimization In Smart Grid.” In Proceedings of38th Annual Conference on IEEE Industrial Electronics Society, Montreal, QC, Canada, 25–28 October 2012; pp. 5916-5919. [CrossRef]
- P. Akaber, B. Moussa, M. Debbabi, C. Assi, “Automated Post-Failure Service Restoration in Smart Grid through Network Reconfiguration in the Presence of Energy Storage Systems.” IEEE Syst. J. 2019, pp. 1–10. [CrossRef]
- F. Qi, P. Yu, B. Chen, W. Li, Q. Zhang, D. Jin, G. Zhang, Y. Wang, “Optimal Planning of Smart Grid Communication Network for Interregional Wide-Area Monitoring Protection and Control System”. In Proceedings of the 2018 IEEE International Conference on Energy Internet (ICEI), Beijing, China, 21–25 May 2018; pp. 190-195. [CrossRef]
- A. Ghasempour, “Optimum Packet Service and Arrival Rates in Advanced Metering Infrastructure Architecture of Smart Grid.” In Proceedings of the 2016 IEEE Green Technologies Conference (IEEE GreenTech 2016), Kansas City, MO, USA, 68 April 2016; pp. 1–5. [CrossRef]
- A. Ghasempour, J. H. Gunther, “Finding the Optimal Number of Aggregators in Machine-to-Machine Advanced Metering Infrastructure Architecture of Smart Grid based on Cost, Delay, and Energy Consumption.” In Proceedings of the 2016 13th IEEE Annual Consumer Communications & Networking Conference (IEEE CCNC 2016), Las Vegas, NV, USA, 9–12 January 2016; pp. 960-963. [CrossRef]
- A. Ghasempour, “Optimized Scalable Decentralized Hybrid Advanced Metering Infrastructure for Smart Grid.” In Proceedings of the 2015 IEEE International Conference on Smart Grid Communications (IEEE SmartGridComm 2015), Miami, FL, USA, 2-5 November 2015; pp. 223–228. [CrossRef]
- A. I. Sarwat, A. Sundararajan, I. Parvez, Trends and Future Directions of Research for Smart Grid IoT Sensor Networks. In Proceedings of International Symposium on Sensor Networks, Systems and Security, Advances in Computing and Networking with Applications, 1st ed.; Rao, N., Brooks, R., Wu, C., Eds.; Springer: New York, NY, USA, 2018; pp. 45–61.
- C. Wang, X. Li, Y. Liu, H. Wang, “The Research On Development Direction And Points In Iot In China Power Grid.” In Proceedings of the 2014 International Conference on Information Science, Electronics and Electrical Engineering, Sapporo City, Hokkaido, Japan, 26-28 April 2014; pp. 245–248. [CrossRef]
- X. Chen, L. Sun, H. Zhu, Y. Zhen, H. Chen, “Application of Internet of Things in Power-Line Monitoring.” In Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, Sanya, China, 10-12 October 2012; pp. 423–426. [CrossRef]
- A. Ghasempour, “Internet Of Things In Smart Grid: Architecture, Applications, Services, Key Technologies, And Challenges.” Inventions. 2019; 4(1):22. 10.3390/inventions4010022