Big Data Analysis Driven Decision Making System Ensuring Energy Security of a Country

Abstract

Energy is one of the key factors for a country's economic and social growth. Bangladesh is constantly seeking sustainable energy sources for securing its increasing energy demand as energy security is a national concern. Currently, Bangladesh is producing 64% of electricity using natural gas while 25% is coming from petroleum and the rest from coal, renewable sources [1]. To reduce pressure from the natural gas government is trying to diversify the energy sources. To achieve sustainable diversified energy sources, the Sustainable and Renewable Energy Development Authority (SREDA) has taken many initiatives. Energy Master Plan has been created which targets to improve Primary Energy consumption per GDP by 20% in the year 2030. Many software applications have been developed by SREDA to monitor the progress. We propose to develop another system for energy data analysis and generate reports accordingly. Policymakers can use those reports to make strategic decisions to secure the country's energy consumption, distribution and manage the demand side. In this research work, we discussed how a big data-based solution can be developed and used to forecast the energy balance which ensures the energy security of Bangladesh. We also discuss different aspects of the proposed software system in detail including challenges and possible solutions to overcome those challenges.