TY - JOUR
T1 - Empowering power distribution
T2 - Unleashing the synergy of IoT and cloud computing for sustainable and efficient energy systems
AU - Rajagopalan, Arul
AU - Swaminathan, Dhivya
AU - Bajaj, Mohit
AU - Damaj, Issam
AU - Rathore, Rajkumar Singh
AU - Singh, Arvind R.
AU - Blazek, Vojtech
AU - Prokop, Lukas
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/2/29
Y1 - 2024/2/29
N2 - This article gives an in-depth review of the integration of the Internet of Things (IoT) and cloud computing in power systems (PS), to improve power distribution sustainability and efficiency. IoT provides seamless communication throughout the electrical grid by leveraging modern Information and Communication Technology (ICT) and embedded technologies, ushering in an information revolution. The Internet of Energy (IoE) emphasizes the convergence of ICT and energy generation, highlighting IoT's disruptive potential in the electric power industry. Cloud computing, on the other hand, effectively handles data processing, storage, and computational resources. Cloud of Things (CoT), the merging of IoT with cloud computing, provides huge processing capabilities and quick access to computer resources, enabling novel applications and analytics in power distribution. The influence of IoT and cloud-based applications in the distributed generation and renewable energy industries is demonstrated via case studies and real-world scenarios. The introduction of new parameters and optimization strategies highlights the potential for future developments in power technology. To achieve smooth integration and effective resource utilization, proposals for additional research in electric cars and grid-to-vehicle technologies have been made. The integration of CoT into PS has an enormous influence, opening the door for increased efficiency, sustainability, and reliability in the energy sector, as shown by the study's overall findings. Future generations will advance thanks to the CoT, which presents exciting potential for a more eco-friendly and technologically sophisticated energy landscape.
AB - This article gives an in-depth review of the integration of the Internet of Things (IoT) and cloud computing in power systems (PS), to improve power distribution sustainability and efficiency. IoT provides seamless communication throughout the electrical grid by leveraging modern Information and Communication Technology (ICT) and embedded technologies, ushering in an information revolution. The Internet of Energy (IoE) emphasizes the convergence of ICT and energy generation, highlighting IoT's disruptive potential in the electric power industry. Cloud computing, on the other hand, effectively handles data processing, storage, and computational resources. Cloud of Things (CoT), the merging of IoT with cloud computing, provides huge processing capabilities and quick access to computer resources, enabling novel applications and analytics in power distribution. The influence of IoT and cloud-based applications in the distributed generation and renewable energy industries is demonstrated via case studies and real-world scenarios. The introduction of new parameters and optimization strategies highlights the potential for future developments in power technology. To achieve smooth integration and effective resource utilization, proposals for additional research in electric cars and grid-to-vehicle technologies have been made. The integration of CoT into PS has an enormous influence, opening the door for increased efficiency, sustainability, and reliability in the energy sector, as shown by the study's overall findings. Future generations will advance thanks to the CoT, which presents exciting potential for a more eco-friendly and technologically sophisticated energy landscape.
KW - Cloud computing
KW - Cloud of things
KW - Internet of things
KW - Power systems
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85186515582&partnerID=8YFLogxK
U2 - 10.1016/j.rineng.2024.101949
DO - 10.1016/j.rineng.2024.101949
M3 - Review article
SN - 2590-1230
VL - 21
JO - Results in Engineering
JF - Results in Engineering
M1 - 101949
ER -