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Energy Management for Internet of Things via Distributed Systems

Abstract

The distributed energy system (DES) architecture is subject to confusion about renewable energy limits, primary energy supply and energy carriers' costs. For the grid to use unreliable electricity sources, the end-user's on-demand presence in the intelligent energy management context is essential. The participation of end-users could influence the management of the system and the volatility of energy prices. By delivering auxiliary services using demand side-resource to increase system reliability, robust planning, constraint control and scheduling, consumers may support grid operators. The optimized approach to managing energy resources enhances demand response to renewable energy sources integrally, controls the demand curve with load versatility as the system requires it. The opportunity to adjust/regulate the charging profile by choosing a particular device. This article discusses a literature and policy analysis that looks at the role of energy management system aggregators and the end-users participating in subsidiary systems within Smart Grid programmers and technologies. In the implementation of aggregators for energy management systems, the objective is to understand the patterns, threats, obstacles and potential obstacles.

Keywords

Energy Management, Energy Consumption, Energy Transformation, IoT, Distributed Systems

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References

  1. P. Asghari, A. M. Rahmani, and H. H. S. Javadi, "Internet of Things applications: A systematic review," Computer Networks, vol. 148, pp. 241-261, 2019.
  2. M. A. Sadeeq, S. R. Zeebaree, R. Qashi, S. H. Ahmed, and K. Jacksi, "Internet of Things security: a survey," in 2018 International Conference on Advanced Science and Engineering (ICOASE), 2018, pp. 162-166.
  3. S. Zeebaree and H. M. Yasin, "Arduino based remote controlling for home: power saving, security and protection," International Journal of Scientific & Engineering Research, vol. 5, pp. 266-272, 2014.
  4. A. A. Salih, S. R. Zeebaree, A. S. Abdulraheem, R. R. Zebari, M. A. Sadeeq, and O. M. Ahmed, "Evolution of Mobile Wireless Communication to 5G Revolution," Technology Reports of Kansai University, vol. 62, pp. 2139-2151, 2020.
  5. C. Han, J. M. Jornet, E. Fadel, and I. F. Akyildiz, "A cross-layer communication module for the Internet of Things," Computer Networks, vol. 57, pp. 622-633, 2013.
  6. A. Tiwary, M. Mahato, A. Chidar, M. K. Chandrol, M. Shrivastava, and M. Tripathi, "Internet of Things (IoT): Research, architectures and applications," International Journal on Future Revolution in Computer Science & Communication Engineering, vol. 4, pp. 23-27, 2018.
  7. V. H. Puar, C. M. Bhatt, D. M. Hoang, and D.-N. Le, "Communication in Internet of Things," in Information Systems Design and Intelligent Applications, ed: Springer, 2018, pp. 272-281.
  8. S. R. Zeebaree, H. M. Shukur, and B. K. Hussan, "Human resource management systems for enterprise organizations: A review," Periodicals of Engineering and Natural Sciences (PEN), vol. 7, pp. 660-669, 2019.
  9. K. E. Jeon, J. She, P. Soonsawad, and P. C. Ng, "Ble beacons for internet of things applications: Survey, challenges, and opportunities," IEEE Internet of Things Journal, vol. 5, pp. 811-828, 2018.
  10. A. I. Abdulla, A. S. Abdulraheem, A. A. Salih, M. A. Sadeeq, A. J. Ahmed, B. M. Ferzor, et al., "Internet of Things and Smart Home Security," Technol. Rep. Kansai Univ, vol. 62, pp. 2465-2476, 2020.
  11. A. S. Abdulraheem, A. A. Salih, A. I. Abdulla, M. A. Sadeeq, N. O. Salim, H. Abdullah, et al., "Home automation system based on IoT," 2020.
  12. F. Gianni, S. Mora, and M. Divitini, "RapIoT toolkit: Rapid prototyping of collaborative Internet of Things applications," Future Generation Computer Systems, vol. 95, pp. 867-879, 2019.
  13. M. S. Aktas and M. Astekin, "Provenance aware runtime verification of things for selfhealing Internet of Things applications," Concurrency and Computation: Practice and Experience, vol. 31, p. e4263, 2019.
  14. A. M. Abdulazeez, S. R. Zeebaree, and M. A. Sadeeq, "Design and Implementation of Electronic Student Affairs System," Academic Journal of Nawroz University, vol. 7, pp. 66-73, 2018.
  15. A. B. Sallow, S. R. Zeebaree, R. R. Zebari, M. R. Mahmood, M. B. Abdulrazzaq, and M. A. Sadeeq, "Vaccine Tracker/SMS Reminder System: Design and Implementation."
  16. A. Maiti, T. Byrne, and A. A. Kist, "Teaching Internet of Things in a Collaborative Laboratory Environment," in 2019 5th Experiment International Conference (exp. at'19), 2019, pp. 193-198.
  17. P. Ganguly, "Selecting the right IoT cloud platform," in 2016 International Conference on Internet of Things and Applications (IOTA), 2016, pp. 316-320.
  18. M. R. Stead, P. Coulton, J. G. Lindley, and C. Coulton, "The little book of sustainability for the Internet of Things," ed: Imagination Lancaster, 2019.
  19. N. Hossein Motlagh, M. Mohammadrezaei, J. Hunt, and B. Zakeri, "Internet of Things (IoT) and the energy sector," Energies, vol. 13, p. 494, 2020.
  20. R. Shen, D. Zhang, Y. Zhang, T. Yang, and Y. Zhang, "A Block Prefetching Framework for Energy Harvesting IoT Devices," IEEE Internet of Things Journal, vol. 7, pp. 3427-3440, 2020.
  21. D. A. Hasan, B. K. Hussan, S. R. Zeebaree, D. M. Ahmed, O. S. Kareem, and M. A. Sadeeq, "The Impact of Test Case Generation Methods on the Software Performance: A Review," International Journal of Science and Business, vol. 5, pp. 33-44, 2021.
  22. C. Iwendi, P. K. R. Maddikunta, T. R. Gadekallu, K. Lakshmanna, A. K. Bashir, and M. J. Piran, "A metaheuristic optimization approach for energy efficiency in the IoT networks," Software: Practice and Experience, 2020.
  23. A. Zouinkhi, H. Ayadi, T. Val, B. Boussaid, and M. N. Abdelkrim, "Automanagement of energy in IoT networks," International Journal of Communication Systems, vol. 33, p. e4168, 2020.
  24. I. U. Din, S. Hassan, A. Almogren, F. Ayub, and M. Guizani, "PUC: Packet update caching for energy efficient IoT-based information-centric networking," Future Generation Computer Systems, vol. 111, pp. 634-643, 2020.
  25. S. S. Dash, C. Lakshmi, S. Das, and B. K. Panigrahi, Artificial intelligence and evolutionary computations in engineering systems: Springer, 2020.
  26. W. Shafik, S. M. Matinkhah, and M. Ghasemzadeh, "Internet of Things-Based Energy Management, Challenges, and Solutions in Smart Cities," Journal of Communications Technology, Electronics and Computer Science, vol. 27, pp. 1-11, 2020.
  27. R. Garg and N. Garg, "Energy Management in a Multi-Source Energy Harvesting IoT System," Journal of Information Technology Research (JITR), vol. 13, pp. 42-59, 2020.
  28. L. M. Haji, O. M. Ahmad, S. R. Zeebaree, H. I. Dino, R. R. Zebari, and H. M. Shukur, "Impact of cloud computing and internet of things on the future internet," Technology Reports of Kansai University, vol. 62, pp. 2179-2190, 2020.
  29. M. M. Sadeeq, N. M. Abdulkareem, S. R. Zeebaree, D. M. Ahmed, A. S. Sami, and R. R. Zebari, "IoT and Cloud Computing Issues, Challenges and Opportunities: A Review," Qubahan Academic Journal, vol. 1, pp. 1-7, 2021.
  30. R. P. Singh, M. Javaid, A. Haleem, and R. Suman, "Internet of things (IoT) applications to fight against COVID-19 pandemic," Diabetes & Metabolic Syndrome: Clinical Research & Reviews, vol. 14, pp. 521-524, 2020.
  31. J. An, X.-L. Gui, and X. He, "Study on the architecture and key technologies for internet of things," Advances in Biomedical Engineering, vol. 11, p. 329, 2012.
  32. Z. Yue, W. Sun, P. Li, M. U. Rehman, and X. Yang, "Internet of things: Architecture, technology and key problems in implementation," in 2015 8th International Congress on Image and Signal Processing (CISP), 2015, pp. 1298-1302.
  33. A.-L. Zhang, "Research on the architecture of internet of things applied in coal mine," in 2016 International Conference on Information System and Artificial Intelligence (ISAI), 2016, pp. 21-23.
  34. S. S. R. Zeebaree, S. Ameen, and M. Sadeeq, "Social Media Networks Security Threats, Risks and Recommendation: A Case Study in the Kurdistan Region," International Journal of Innovation, Creativity and Change, vol. 13, pp. 349-365, 2020.
  35. A. Ramamurthy and P. Jain, "The internet of things in the power sector opportunities in Asia and the Pacific," 2017.
  36. M. J. Berthelot, N. Lasensky, and P. Somers, "The Boards Role in Monitoring Strategy: Lessons Learned from General Electric," 2019.
  37. A. Sharif, S. A. Raza, I. Ozturk, and S. Afshan, "The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations," Renewable Energy, vol. 133, pp. 685-691, 2019.
  38. iea, "www.iea.org," 2021.
  39. P. K. Sharma, N. Kumar, and J. H. Park, "Blockchain Technology Toward Green IoT: Opportunities and Challenges," IEEE Network, 2020.
  40. P. Chithaluru, F. Al-Turjman, M. Kumar, and T. Stephan, "I-AREOR: An Energy-balanced Clustering Protocol for implementing Green IoT in smart cities," Sustainable Cities and Society, p. 102254, 2020.
  41. W. Ejaz and A. Anpalagan, "Internet of things for smart cities: overview and key challenges," in Internet of Things for Smart Cities, ed: Springer, 2019, pp. 1-15.
  42. A. B. Sallow, M. Sadeeq, R. R. Zebari, M. B. Abdulrazzaq, M. R. Mahmood, H. M. Shukur, et al., "An Investigation for Mobile Malware Behavioral and Detection Techniques Based on Android Platform," IOSR Journal of Computer Engineering (IOSR-JCE), vol. 22, pp. 14-20.
  43. S. P. Mohanty, U. Choppali, and E. Kougianos, "Everything you wanted to know about smart cities: The internet of things is the backbone," IEEE Consumer Electronics Magazine, vol. 5, pp. 60-70, 2016.
  44. H. M. Yasin, S. R. Zeebaree, and I. M. Zebari, "Arduino Based Automatic Irrigation System: Monitoring and SMS Controlling," in 2019 4th Scientific International Conference Najaf (SICN), 2019, pp. 109-114.
  45. L. Tightiz and H. Yang, "A Comprehensive Review on IoT Protocols Features in Smart Grid Communication," Energies, vol. 13, p. 2762, 2020.
  46. Z. Hameed, F. Ahmad, S. ur Rehman, and Z. Ghafoor, "IoT Based Communication Technologies to Integrate and Maximize the Efficiency of Renewable Energy Resources with Smart Grid," in 2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020, pp. 1-5.
  47. L. M. Haji, S. Zeebaree, O. M. Ahmed, A. B. Sallow, K. Jacksi, and R. R. Zeabri, "Dynamic resource allocation for distributed systems and cloud computing," TEST Engineering & Management, vol. 83, pp. 22417-22426, 2020.
  48. Z. S. Ageed, R. K. Ibrahim, and M. A. Sadeeq, "Unified Ontology Implementation of Cloud Computing for Distributed Systems," Current Journal of Applied Science and Technology, pp. 82-97, 2020.
  49. Z. N. Rashid, S. R. Zebari, K. H. Sharif, and K. Jacksi, "Distributed cloud computing and distributed parallel computing: A review," in 2018 International Conference on Advanced Science and Engineering (ICOASE), 2018, pp. 167-172.
  50. Z. N. Rashid, S. R. Zeebaree, and A. Shengul, "Design and analysis of proposed remote controlling distributed parallel computing system over the cloud," in 2019 International Conference on Advanced Science and Engineering (ICOASE), 2019, pp. 118-123.
  51. S. R. Zebari and N. O. Yaseen, "Effects of Parallel Processing Implementation on Balanced Load-Division Depending on Distributed Memory Systems," J. Univ. Anbar Pure Sci, vol. 5, pp. 50-56, 2011.
  52. Z. Ageed, M. R. Mahmood, M. Sadeeq, M. B. Abdulrazzaq, and H. Dino, "Cloud computing resources impacts on heavy-load parallel processing approaches," IOSR Journal of Computer Engineering (IOSR-JCE), vol. 22, pp. 30-41, 2020.
  53. D. H. Maulud, S. R. Zeebaree, K. Jacksi, M. A. M. Sadeeq, and K. H. Sharif, "State of Art for Semantic Analysis of Natural Language Processing," Qubahan Academic Journal, vol. 1, 2021.
  54. O. Alzakholi, H. Shukur, R. Zebari, S. Abas, and M. Sadeeq, "Comparison among cloud technologies and cloud performance," Journal of Applied Science and Technology Trends, vol. 1, pp. 40-47, 2020.
  55. H. Shukur, S. R. Zeebaree, A. J. Ahmed, R. R. Zebari, O. Ahmed, B. S. A. Tahir, et al., "A State of Art Survey for Concurrent Computation and Clustering of Parallel Computing for Distributed Systems," Journal of Applied Science and Technology Trends, vol. 1, pp. 148-154, 2020.
  56. M. A. Sulaiman, M. Sadeeq, A. S. Abdulraheem, and A. I. Abdulla, "Analyzation Study for Gamification Examination Fields," Technol. Rep. Kansai Univ, vol. 62, pp. 2319-2328, 2020.
  57. S. R. Zeebaree, H. M. Shukur, L. M. Haji, R. R. Zebari, K. Jacksi, and S. M. Abas, "Characteristics and analysis of hadoop distributed systems," Technology Reports of Kansai University, vol. 62, pp. 1555-1564, 2020.
  58. P. Y. Abdullah, S. R. Zeebaree, K. Jacksi, and R. R. Zeabri, "An hrm system for small and medium enterprises (sme) s based on cloud computing technology," International Journal of Research-GRANTHAALAYAH, vol. 8, pp. 56-64, 2020.
  59. P. Y. Abdullah, S. R. Zeebaree, H. M. Shukur, and K. Jacksi, "HRM system using cloud computing for Small and Medium Enterprises (SMEs)," Technology Reports of Kansai University, vol. 62, p. 04, 2020.
  60. Y. S. Jghef and S. Zeebaree, "State of Art Survey for Significant Relations between Cloud Computing and Distributed Computing," International Journal of Science and Business, vol. 4, pp. 53-61, 2020.
  61. M. Sadeeq, A. I. Abdulla, A. S. Abdulraheem, and Z. S. Ageed, "Impact of Electronic Commerce on Enterprise Business," Technol. Rep. Kansai Univ, vol. 62, pp. 2365-2378, 2020.
  62. C. M. Mohammed and S. R. Zebaree, "Sufficient Comparison Among Cloud Computing Services: IaaS, PaaS, and SaaS: A Review," International Journal of Science and Business, vol. 5, pp. 17-30, 2021.
  63. A. A. Yazdeen, S. R. Zeebaree, M. M. Sadeeq, S. F. Kak, O. M. Ahmed, and R. R. Zebari, "FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review," Qubahan Academic Journal, vol. 1, pp. 8-16, 2021.
  64. S. R. Zeebaree, "Remote Controlling Distributed Parallel Computing System over the Cloud (RCDPCSC)," in 2020 3rd International Conference on Engineering Technology and its Applications (IICETA), 2020, pp. 258-258.
  65. Z. N. Rashid, S. R. Zeebaree, and A. Sengur, "Novel Remote Parallel Processing Code-Breaker System via Cloud Computing."
  66. R. Krishnamoorthy, S. Aswini, and C. Guna, "Design and Implementation of IoT based Energy Management System with Data Acquisition," in 2020 7th International Conference on Smart Structures and Systems (ICSSS), 2020, pp. 1-5.
  67. G. Bedi, G. K. Venayagamoorthy, and R. Singh, "Development of an IoT Driven Building Environment for Prediction of Electric Energy Consumption," IEEE Internet of Things Journal, 2020.
  68. O. Lasso-Lopez, C. Gonzz-Espinoza, C. Lozoya, A. Venzor-Mendoza, A. Dla-Villalobos, and C. Royo-Noble, "Implementing an IoT Energy Monitoring System Using the Challenge-based Learning Model," in 2020 IEEE Conference on Technologies for Sustainability (SusTech), 2020, pp. 1-5.
  69. G. Almonacid-Olleros, G. Almonacid, J. I. Fernandez-Carrasco, M. Espinilla Estevez, and J. Medina Quero, "A new architecture based on IoT and machine learning paradigms in photovoltaic systems to nowcast output energy," Sensors, vol. 20, p. 4224, 2020.
  70. D. B. Avancini, J. J. Rodrigues, R. A. Rab, A. K. Das, S. Kozlov, and P. Solic, "A new IoTbased smart energy meter for smart grids," International Journal of Energy Research, 2020.
  71. G. Filios, I. Katsidimas, S. Nikoletseas, A. Souroulagkas, P. Spirakis, and I. Tsenempis, "A smart energy management power supply unit for low-power IoT systems," in 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2020, pp. 227-235.
  72. T. Han, K. Muhammad, T. Hussain, J. Lloret, and S. W. Baik, "An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks," IEEE Internet of Things Journal, 2020.
  73. N. K. Kumar, K. T. Sikamani, K. Cornelius, M. G. Prasana, and A. Helen, "An Efficient Dynamic Power Management of Household Energy Consumables," in 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020, pp. 11-14.
  74. C.-C. Yang, R. Pandey, T.-Y. Tu, Y.-P. Cheng, and P. C.-P. Chao, "An efficient energy harvesting circuit for batteryless IoT devices," Microsystem Technologies, vol. 26, pp. 195-207, 2020.
  75. S. Sedighiani, K. Singh, J. Huisken, R. Jordans, P. Harpe, and J. P. De Gyvez, "An Electromagnetic Energy Harvester and Power Management in 28-nm FDSOI for IoT," in 2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020, pp. 1-5.
  76. K. Haseeb, I. Ud Din, A. Almogren, and N. Islam, "An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture," Sensors, vol. 20, p. 2081, 2020.
  77. W.-P. Kiat, K.-M. Mok, W.-K. Lee, H.-G. Goh, and R. Achar, "An energy efficient FPGA partial reconfiguration based micro-architectural technique for IoT applications," Microprocessors and Microsystems, vol. 73, p. 102966, 2020.
  78. O. Said, Z. Al-Makhadmeh, and A. Tolba, "EMS: An Energy Management Scheme for Green IoT Environments," IEEE Access, vol. 8, pp. 44983-44998, 2020.
  79. J. Arshad, M. A. Azad, M. M. Abdeltaif, and K. Salah, "An intrusion detection framework for energy constrained IoT devices," Mechanical Systems and Signal Processing, vol. 136, p. 106436, 2020.
  80. C. Lork, W.-T. Li, Y. Qin, Y. Zhou, C. Yuen, W. Tushar, et al., "An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management," Applied Energy, vol. 276, p. 115426, 2020.
  81. W.-T. Li, W. Tushar, C. Yuen, B. K. K. Ng, S. Tai, and K. T. Chew, "Energy efficiency improvement of solar water heating systemsAn IoT based commissioning methodology," Energy and Buildings, vol. 224, p. 110231, 2020.
  82. B. Dey, F. P. GarcMuez, and S. K. Basak, "Smart energy management of residential microgrid system by a novel hybrid mgwoscacsa algorithm," Energies, vol. 13, p. 3500, 2020.
  83. S. Jagtap, A. Gandhi, R. Bochare, A. Patil, and A. Shitole, "Waste Management Improvement in Cities using IoT," in 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), 2020, pp. 382-385.
  84. S. Aznavi, P. Fajri, R. Sabzehgar, and A. Asrari, "Optimal management of residential energy storage systems in presence of intermittencies," Journal of Building Engineering, vol. 29, p. 101149, 2020.
  85. J. Lei, C. Zhou, X. Li, A. Huang, H. Bai, Z. Yuan, et al., "Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things," IEEE Access, 2020.
  86. X. Yu, J. Chu, K. Yu, T. Teng, and N. Li, "Energy-Efficiency Optimization for IoT-Distributed Antenna Systems With SWIPT Over Composite Fading Channels," IEEE Internet of Things Journal, vol. 7, pp. 197-207, 2019.
  87. A. Ashiquzzaman, H. Lee, T.-W. Um, and J. Kim, "Energy-Efficient IoT Sensor Calibration With Deep Reinforcement Learning," IEEE Access, vol. 8, pp. 97045-97055, 2020.
  88. V. K. Nguyen, Q. Z. Sheng, A. Mahmood, W. E. Zhang, and T. D. Vo, "HelibotA Smart Distributed Energy Resources Platform for Futuristic Smart Grids," in 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020, pp. 898-901.
  89. M. Saxena and S. Dutta, "Improved the efficiency of IoT in agriculture by introduction optimum energy harvesting in WSN," in 2020 International Conference on Innovative Trends in Information Technology (ICITIIT), 2020, pp. 1-5.
  90. M. L. Hossain, A. Abu-Siada, S. Muyeen, M. M. Hasan, and M. M. Rahman, "Industrial IoT based condition monitoring for wind energy conversion system," CSEE Journal of Power and Energy Systems, 2020.
  91. C. Mokhtara, B. Negrou, A. Bouferrouk, Y. Yao, N. Settou, and M. Ramadan, "Integrated supplydemand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates," Energy Conversion and Management, vol. 221, p. 113192, 2020.
  92. L. Wang and D. Jiang, "Intelligent monitoring system for thermal energy consumption of buildings under the IoT technology," International Journal of Information and Communication Technology, vol. 16, pp. 53-67, 2020.
  93. G. A. Raiker, L. Umanand, S. Agrawal, A. S. Thakur, K. Ashwin, J. P. Barton, et al., "Internet of Things based Demand Side Energy Management System using Non-Intrusive Load Monitoring," in 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), 2020, pp. 1-5.
  94. H. Golp and S. Bahramara, "Internet-of-things-based optimal smart city energy management considering shiftable loads and energy storage," Journal of Cleaner Production, p. 121620, 2020.
  95. R. Carli, G. Cavone, S. Ben Othman, and M. Dotoli, "Iot based architecture for model predictive control of hvac systems in smart buildings," Sensors, vol. 20, p. 781, 2020.
  96. M. Ahrarinouri, M. Rastegar, and A. R. Seifi, "Multi-Agent Reinforcement Learning for Energy Management in Residential Buildings," IEEE Transactions on Industrial Informatics, 2020.
  97. Q. Lu, S. LLeng, and Z. Zhang, "Optimal household energy management based on smart residential energy hub considering uncertain behaviors," Energy, vol. 195, p. 117052, 2020.
  98. Q. Yu, Z. Jiang, Y. Liu, and G. Long, "Research of Power Energy Management Control Strategy with IOT in NZEB," in 2020 IEEE International Conference on Smart Internet of Things (SmartIoT), 2020, pp. 319-322.

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