Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review
Oregon Institute of Technology · Bangladesh University of Engineering and Technology · +2 more institutions
Abstract
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…
Citation impact
- FWCI
- 40.80
- Percentile
- 100%
- References
- 224
Authors
5- EHEklas HossainCorresponding
Oregon Institute of Technology
- IKImtiaj Khan
Bangladesh University of Engineering and Technology
- FUFuad Un-Noor
Khulna University of Engineering and Technology
- SSSarder Shazali Sikander
National University of Sciences and Technology
- MSMd. Samiul Haque Sunny
Khulna University of Engineering and Technology
Topics & keywords
- Computer science
- Big data
- Smart grid
- Key (lock)
- Internet of Things
- Computer security
- Grid
- Electric power system
- Industry, innovation and infrastructure