The Role of Smart Grid Data Analytics in Enhancing the Paradigm of Energy Management for Sustainable Development

The energy industry is witnessing massive growth due to increase demand of power, hence the business enterprises, stakeholders and governments are focusing in implementing novel measures so as to enhance the overall efficiency of operations. The implementation of various technologies in the grids supports the energy providers, users and others in enhancing the efficiency of operations, identify the areas of latency, enable in deploying the resources effectively for better future. The application of smart grids in the energy sector is replacing the traditional and outdated grids, this has enabled in implementing smart meters, enhance the free flow of large volume of data and information. These data re collected using BDA models for analysing the current pattern and forecast the future requirements based on the growing needs and requirements. Hence, this offers different opportunities that are associated in sustainable development and energy management in critical way. It has been noted that the academic practitioners stated that the implementation of big data analytics support the energy companies, users and others to optimise the usage of smart grids, enable in supporting the application of renewable energy sources, also involve in understanding the latency classification and identification, supporting in power quality monitoring and forecasting the pattern for better capacity planning. These aspects tend to support in augmenting overall nature of energy management and support in better growth and development. This study focuses in using the primary data sources in collecting the data from the respondents to understand the overall impact of BDA in enhancing the paradigm of energy management for sustainable development. The researchers intend to use secondary data source for presenting comprehensive understanding on the chosen area of study.