HAFIZ MUHAMMAD HAFEEZ - Academia.edu (original) (raw)
Address: Beijing, China.
Kasur, Pakistan.
less
Uploads
Papers by HAFIZ MUHAMMAD HAFEEZ
Panoramic state (Analog or Digital) data is one of the most critical requirement for Smart grid o... more Panoramic state (Analog or Digital) data is one of the most critical requirement for Smart grid operation, and during the management, operation and upkeeping of smart grid heavy heterogeneous and multi-state data, called the large (Big) data, are generated. In 21 th century, how to store this data more reliably and more cheaply and data-approach and analyze them briskly are critical research subjects. In the first phase, the source of this large data generated in diverse process of smart grid, for example power generation, transmission, transformation and utilization and the elements of this data are analyzed. In second phase, the present large data processing methods adopted in the fields of industrial monitoring, internet and business are summarized, and the positive consequences and drawbacks of these methods in coping with the construction of smart grid and large data processing are analyzed in detail. Lastly, in the aspects of large data storage, real-time data operation and fusion of heterogeneous multi-data sources and visual resolving of large data, the chances and challenges brought by smart grid large data are clarified in detail.
Panoramic state (Analog or Digital) data is one of the most critical requirement for Smart grid o... more Panoramic state (Analog or Digital) data is one of the most critical requirement for Smart grid operation, and during the management, operation and upkeeping of smart grid heavy heterogeneous and multi-state data, called the large (Big) data, are generated. In 21 th century, how to store this data more reliably and more cheaply and data-approach and analyze them briskly are critical research subjects. In the first phase, the source of this large data generated in diverse process of smart grid, for example power generation, transmission, transformation and utilization and the elements of this data are analyzed. In second phase, the present large data processing methods adopted in the fields of industrial monitoring, internet and business are summarized, and the positive consequences and drawbacks of these methods in coping with the construction of smart grid and large data processing are analyzed in detail. Lastly, in the aspects of large data storage, real-time data operation and fusion of heterogeneous multi-data sources and visual resolving of large data, the chances and challenges brought by smart grid large data are clarified in detail.