Review of Internet of Things (IoT) in Electric Power and Energy Systems

By Guneet Bedi, Ganesh Kumar Venayagamoorthy, Rajendra Singh, Richard R. Brooks, Kuang-Ching Wang. IEEE Internet of Things Journal, 2018

590 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b6e42a9cc8738be8877a321a1fe7ebbb0582a8dd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Noël Crespi
2. Chau Yuen
3. H. Vincent Poor
4. Thomas Morstyn
5. Mubashir Husain Rehmani
6. Alexandre Mouradian

In Control and Systems Engineering

1. Chau Yuen
2. Wayes Tushar
3. Tapan Kumar Saha
4. H. Vincent Poor
5. David Flynn
6. Noël Crespi
7. Benoit Couraud
8. S. Elizondo-González

In Electrical and Electronic Engineering

1. Chau Yuen
2. H. Vincent Poor
3. Wayes Tushar
4. Tapan Kumar Saha
5. Rebecca Copeland
6. David Flynn
7. Noël Crespi
8. Benoit Couraud

Citations in the corpus

• Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions (2017, background): “Both [19], [20] are not comprehensive surveys like ours, rather they are very similar to [1] that provides the importance of IoT in SG and a generic overview of”
• 5G network-based Internet of Things for demand response in smart grid: A survey on application potential (2020, background): “By utilizing fast transfer speed, the Internet of Things (IoTs) are proposed to connect more devices and achieve intelligent system functions, such as smart homes, smart buildings, and smart electric power and energy systems [84].”
• Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges (2020, background): “Applications of IoT have been extensively discussed in [53], and [54].”
• Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020, background): “New technologies, such as Internet-of-Things (IoT), real-time monitoring and control, peer-to-peer energy and smart contracts [3], as well as cyber-security of energy assets can result in power systems which are more efficient, secure, reliable, resilient, and sustainable [4].”