‘Big data bring good electricity management’

Staff Correspondent

8 July, 2020 12:00 AM printer

Speakers at a seminar on Tuesday said that the ‘big data’ system would help adopting balanced policies for the power sector and good electricity management.

They came up with the remarks at an online seminar styled ‘‘Big Data and Electricity Management’, organized by Bangladesh Energy and Power Research Council (EPRC).

Prime Minister’s power and energy adviser Dr Tawfiq-e-Elahi Chowdhury was present as chief guest while State Minister for Power, Energy and Mineral Resources Nasrul Hamid spoke as special guest.

It will become more convenient to adopt balanced policies if information is taken from big data with the help of Bangladesh Bureau of Statistics (BBS), said Dr Tawfiq-e-Elahi Chowdhury.

Towards this direction, the given six clusters can be further analyzed, he added.

Speaking as the special guest, Nasrul Hamid said that smart pre-paid meters, SCADA electricity use system will help in determining the pattern of power consumption with big data and electricity management.

Distribution companies should be sincere about data collection and application as 97 percent of the people have been brought under electrification, said Nasrul Hamid.

“Big data analysis is one of the most advanced decision making strategies and its importance is immense,” said the state minister welcoming DPDC's pre-payment data and satellite data analysis.

Associate Professor of the Department of Computer Science and Engineering, University of Dhaka, Moinul Jaber presented the keynote paper.

The keynote paper focused on building energy and sustainable city using unconventional data over the telephone and ICT, and to build human mobility and socioeconomic modeling.  Bangladesh Energy and Power Research Council Chairman Subir Kishore Chowdhury presided over the virtual seminar.

Among others, Secretary of the Power Division Sultan Ahmed and Director General of Power Cell Mohammad Hossain were also present on the occasion.

Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.