Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

By Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, Sarder Shazali Sikander, Md. Samiul H. Sunny. IEEE Access, 2019

385 citations recorded by the source corpus.

This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system—the smart grid (SG). Connectivity lies at the core of this new grid infrastructure, which is provided by the Internet of Things (IoT). This connectivity, and constant communication required in this system, also introduced a massive data volume that demands techniques far superior to conventional methods for proper analysis and decision-making. The IoT-integrated SG system can provide efficient load forecasting and data acquisition technique along with cost-effectiveness. Big data analysis and machine learning techniques are essential to reaping these benefits. In the complex connected system of SG, cyber security becomes a critical issue; IoT devices and their data turning into major targets of attacks. Such security concerns and their solutions are also included in this paper. Key information obtained through literature review is tabulated in the corresponding sections to provide a clear synopsis; and the findings of this rigorous review are listed to give a concise picture of this area of study and promising future fields of academic and industrial research, with current limitations with viable solutions along with their effectiveness.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/eb22971f0523cfe97a1534be27ff7e87dfc8a8b7

How researchers see this paper

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In Control and Systems Engineering

1. Jun Zhao
2. Dusist Niyato
3. Mika E. Ylianttila
4. Andrei V. Gurtov

In Electrical and Electronic Engineering

1. Jun Zhao
2. Madhusanka Liyanage
3. Dusist Niyato
4. Mika E. Ylianttila
5. Pawani Porambage
6. Andrei V. Gurtov

In Information Systems

1. Jun Zhao
2. Madhusanka Liyanage
3. Dusist Niyato
4. Mika E. Ylianttila
5. Andrei V. Gurtov

Citations in the corpus

• Blockchain for Future Smart Grid: A Comprehensive Survey (2019, background): “In the same connection, the future smart grid system should also have some level of security [68]–[70], such as: 1) ensuring that any unauthorized entity cannot obtain any information; 2) ensuring proper cryptographic mechanisms; 3) preventing unauthorized entities from modifying the information;…”
• The Roadmap to 6G Security and Privacy (2021, background): “The critical components and services such as data access points, control elements (SCADA) [61] and the EMS of the cyber-physical system [62], metering, billing and information exchange are heavily targeted in these attacks.”