Energy Management for Internet of Things via Distributed Systems

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.

[1]  Alagan Anpalagan,et al.  Internet of Things for Smart Cities: Overview and Key Challenges , 2018, Internet of Things for Smart Cities.

[2]  Fadi Al-Turjman,et al.  I-AREOR: An energy-balanced clustering protocol for implementing green IoT in smart cities , 2020 .

[3]  Sung Wook Baik,et al.  An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks , 2021, IEEE Internet of Things Journal.

[4]  Behnam Zakeri,et al.  Internet of Things (IoT) and the Energy Sector , 2020, Energies.

[5]  Ai-Ling Zhang Research on the Architecture of Internet of Things Applied in Coal Mine , 2016, 2016 International Conference on Information System and Artificial Intelligence (ISAI).

[6]  Macarena Espinilla,et al.  A New Architecture Based on IoT and Machine Learning Paradigms in Photovoltaic Systems to Nowcast Output Energy , 2020, Sensors.

[7]  John P. Barton,et al.  Internet of Things based Demand Side Energy Management System using Non-Intrusive Load Monitoring , 2020, 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020).

[8]  Masood Ur Rehman,et al.  Internet of things: Architecture, technology and key problems in implementation , 2015, 2015 8th International Congress on Image and Signal Processing (CISP).

[9]  Arun Ramamurthy,et al.  The Internet of Things in the Power Sector: Opportunities in Asia and the Pacific , 2017 .

[10]  Jong Hyuk Park,et al.  Blockchain Technology Toward Green IoT: Opportunities and Challenges , 2020, IEEE Network.

[11]  Quan Z. Sheng,et al.  Helibot – A Smart Distributed Energy Resources Platform for Futuristic Smart Grids , 2020, 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).

[12]  Faiza Ahmad,et al.  IoT Based Communication Technologies to Integrate and Maximize the Efficiency of Renewable Energy Resources with Smart Grid , 2020, 2020 International Conference on Computing and Information Technology (ICCIT-1441).

[13]  Lailan M. Haji,et al.  Comparison Among Cloud Technologies and Cloud Performance , 2020 .

[14]  M. A. Sadeeq,et al.  IoT and Cloud Computing Issues, Challenges and Opportunities: A Review , 2021, Qubahan Academic Journal.

[15]  Ganesh K. Venayagamoorthy,et al.  Development of an IoT-Driven Building Environment for Prediction of Electric Energy Consumption , 2020, IEEE Internet of Things Journal.

[16]  Khaled Salah,et al.  An intrusion detection framework for energy constrained IoT devices , 2020, Mechanical Systems and Signal Processing.

[17]  M. Mahato,et al.  Internet of Things (IoT): Research, Architectures and Applications , 2018 .

[18]  Qingguang Yu,et al.  Research of Power Energy Management Control Strategy with IOT in NZEB , 2020, 2020 IEEE International Conference on Smart Internet of Things (SmartIoT).

[19]  Subhi R. M. Zeebaree,et al.  Arduino Based Automatic Irrigation System: Monitoring and SMS Controlling , 2019, 2019 4th Scientific International Conference Najaf (SICN).

[20]  Poria Fajri,et al.  Optimal management of residential energy storage systems in presence of intermittencies , 2020 .

[21]  Ramachandra Achar,et al.  An energy efficient FPGA partial reconfiguration based micro-architectural technique for IoT applications , 2020, Microprocess. Microsystems.

[22]  Lu Wang,et al.  Intelligent monitoring system for thermal energy consumption of buildings under the IoT technology , 2020 .

[23]  Monica Divitini,et al.  RapIoT Toolkit: Rapid Prototyping of Collaborative Internet of Things Applications , 2016, 2016 International Conference on Collaboration Technologies and Systems (CTS).

[24]  Dac-Nhuong Le,et al.  Communication in Internet of Things , 2018 .

[25]  Yuren Zhou,et al.  An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management , 2020 .

[26]  Pankaj Ganguly Selecting the right IoT cloud platform , 2016, 2016 International Conference on Internet of Things and Applications (IOTA).

[27]  Ali Reza Seifi,et al.  Multiagent Reinforcement Learning for Energy Management in Residential Buildings , 2021, IEEE Transactions on Industrial Informatics.

[28]  Subhi R. M. Zeebaree,et al.  Design and Analysis of Proposed Remote Controlling Distributed Parallel Computing System Over the Cloud , 2019, 2019 International Conference on Advanced Science and Engineering (ICOASE).

[29]  M. A. Sadeeq,et al.  State of Art for Semantic Analysis of Natural Language Processing , 2021, Qubahan Academic Journal.

[30]  S. Muyeen,et al.  Industrial IoT based condition monitoring for wind energy conversion system , 2020 .

[31]  Ananda Maiti,et al.  Teaching Internet of Things in a Collaborative Laboratory Environment , 2019, 2019 5th Experiment International Conference (exp.at'19).

[32]  Ritu Garg,et al.  Energy Management in a Multi-Source Energy Harvesting IoT System , 2020, J. Inf. Technol. Res..

[33]  Hyo-Sik Yang,et al.  A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication , 2020, Energies.

[34]  Ikram Ud Din,et al.  An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture , 2020, Sensors.

[35]  Ian F. Akyildiz,et al.  A cross-layer communication module for the Internet of Things , 2013, Comput. Networks.

[36]  Bishwajit Dey,et al.  Smart Energy Management of Residential Microgrid System by a Novel Hybrid MGWOSCACSA Algorithm , 2020, Energies.

[37]  K. Ramamoorthy Design and Implementation of IoT based Energy Management System with Data Acquisition , 2017 .

[38]  Mazliza Othman,et al.  Internet of Things security: A survey , 2017, J. Netw. Comput. Appl..

[39]  Tai-Won Um,et al.  Energy-Efficient IoT Sensor Calibration With Deep Reinforcement Learning , 2020, IEEE Access.

[40]  Mohsen Guizani,et al.  PUC: Packet Update Caching for energy efficient IoT-based Information-Centric Networking , 2020, Future Gener. Comput. Syst..

[41]  Swagatam Das,et al.  Artificial Intelligence and Evolutionary Computations in Engineering Systems , 2016 .

[42]  Merve Astekin,et al.  Provenance aware run‐time verification of things for self‐healing Internet of Things applications , 2019, Concurr. Comput. Pract. Exp..

[43]  James She,et al.  BLE Beacons for Internet of Things Applications: Survey, Challenges, and Opportunities , 2018, IEEE Internet of Things Journal.

[44]  Yufeng Yao,et al.  Integrated supply–demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates , 2020 .

[45]  M. A. Sadeeq,et al.  A State of Art Survey for Concurrent Computation and Clustering of Parallel Computing for Distributed Systems , 2020, Journal of Applied Science and Technology Trends.

[46]  Benny Kai Kiat Ng,et al.  Energy efficiency improvement of solar water heating systems – An IoT based commissioning methodology , 2020 .

[47]  Amr Tolba,et al.  EMS: An Energy Management Scheme for Green IoT Environments , 2020, IEEE Access.

[48]  M. A. Sadeeq,et al.  FPGA Implementations for Data Encryption and Decryption via Concurrent and Parallel Computation: A Review , 2021 .

[49]  Qing Lu,et al.  Optimal household energy management based on smart residential energy hub considering uncertain behaviors , 2020 .

[50]  Subhi R. M. Zeebaree,et al.  AN HRM SYSTEM FOR SMALL AND MEDIUM ENTERPRISES (SME)S BASED ON CLOUD COMPUTING TECHNOLOGY , 2020 .

[51]  Ricardo A. L. Rabêlo,et al.  A new IoT‐based smart energy meter for smart grids , 2020, International Journal of Energy Research.

[52]  H. M. Yasin,et al.  Arduino Based Remote Controlling for Home: Power Saving, Security and Protection , 2014 .

[53]  Tse-Yi Tu,et al.  An efficient energy harvesting circuit for batteryless IoT devices , 2020, Microsystem Technologies.

[54]  Mariagrazia Dotoli,et al.  IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings , 2020, Sensors.

[55]  M. A. Sadeeq,et al.  Unified Ontology Implementation of Cloud Computing for Distributed Systems , 2020 .

[56]  Karwan Jacksi,et al.  Distributed Cloud Computing and Distributed Parallel Computing: A Review , 2018, 2018 International Conference on Advanced Science and Engineering (ICOASE).

[57]  Salah Bahramara,et al.  Internet-of-things-based optimal smart city energy management considering shiftable loads and energy storage , 2020 .

[58]  Pieter Harpe,et al.  An Electromagnetic Energy Harvester and Power Management in 28-nm FDSOI for IoT , 2020, 2020 9th Mediterranean Conference on Embedded Computing (MECO).

[59]  Wasswa Shafik,et al.  Internet of Things-Based Energy Management, Challenges, and Solutions in Smart Cities , 2020 .

[60]  Subhi R. M. Zeebaree,et al.  State of Art Survey for Significant Relations between Cloud Computing and Distributed Computing , 2020 .

[61]  M. A. Sadeeq,et al.  custom: The Impact of Test Case Generation Methods on the Software Performance: A Review , 2021 .

[62]  Amir Masoud Rahmani,et al.  Internet of Things applications: A systematic review , 2019, Comput. Networks.

[63]  Ning Li,et al.  Energy-Efficiency Optimization for IoT-Distributed Antenna Systems With SWIPT Over Composite Fading Channels , 2020, IEEE Internet of Things Journal.

[64]  Subhi R. M. Zeebaree,et al.  Design and Implementation of Electronic Student Affairs System , 2018 .

[65]  Sotiris Nikoletseas,et al.  A smart energy management power supply unit for low-power IoT systems , 2020, 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS).

[66]  Yongmin Zhang,et al.  A Block Prefetching Framework for Energy Harvesting IoT Devices , 2020, IEEE Internet of Things Journal.

[67]  Saraju P. Mohanty,et al.  Everything You Wanted to Know About Smart Cities , 2016, IEEE Consumer Electron. Mag..

[68]  M. Grace Prasana,et al.  An Efficient Dynamic Power Management of Household Energy Consumables , 2020, 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS).

[69]  R. Suman,et al.  Internet of things (IoT) applications to fight against COVID-19 pandemic , 2020, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

[70]  Subrata Dutta,et al.  Improved the efficiency of IoT in agriculture by introduction optimum energy harvesting in WSN , 2020, 2020 International Conference on Innovative Trends in Information Technology (ICITIIT).

[71]  Ahmed Zouinkhi,et al.  Auto‐management of energy in IoT networks , 2019, Int. J. Commun. Syst..

[72]  Praveen Kumar Reddy Maddikunta,et al.  A metaheuristic optimization approach for energy efficiency in the IoT networks , 2020, Softw. Pract. Exp..

[73]  Qiu Xiao-ming Study on the Architecture and Key Technologies for Internet of Things , 2011 .

[74]  Abhinandan H. Patil,et al.  Waste Management Improvement in Cities using IoT , 2020, 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC).

[75]  Camilo Lozoya,et al.  Implementing an IoT Energy Monitoring System Using the Challenge-based Learning Model , 2020, 2020 IEEE Conference on Technologies for Sustainability (SusTech).

[76]  Sahar Afshan,et al.  The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: A global study with the application of heterogeneous panel estimations , 2019, Renewable Energy.

[77]  M. A. Sadeeq,et al.  Cloud Computing Resources Impacts on Heavy-Load Parallel Processing Approaches , 2020 .