Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations

• Main Authors: AL-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Paw J.K.S., Singh M.J.
• Other Authors: 57212194331
• Format: Review
• Published: MDPI 2024
• Subjects: big data; cloud computing; data mining; parallel computing; power system; Cloud analytics; Computational efficiency; Computer architecture; Computing power; Data mining; Green computing; Information management; Parallel processing systems; Parallel programming; Power management; Cloud-computing; Data analytics; Parallel com- puting; Power; Power management systems; Power system; Process delay; Process time; System conditions; System status; Big data
• Institution: Universiti Tenaga Nasional

Traditional parallel computing for power management systems has prime challenges such as execution time, computational complexity, and efficiency like process time and delays in power system condition monitoring, particularly consumer power consumption, weather data, and power generation for detecti...