A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid

Vinoth Kumar Ponnusamy, Padmanathan Kasinathan, Rajvikram Madurai Elavarasan, Vinoth Ramanathan, Ranjith Kumar Anandan, Umashankar Subramaniam, Aritra Ghosh and Eklas Hossain
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Vinoth Kumar Ponnusamy: Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore 641008, India
Padmanathan Kasinathan: Department of Electrical and Electronics Engineering, Agni College of Technology, Thalambur, Chennai 600130, India
Rajvikram Madurai Elavarasan: Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai 625015, India
Vinoth Ramanathan: Department of Computer Science and Engineering, Jerusalem College of Engineering, Chennai 600100, India
Ranjith Kumar Anandan: Department of Computer Science and Engineering, Lovely Professional University, Phagwara 144411, India
Umashankar Subramaniam: Department of Communication and Networks, College of Engineering, Renewable Energy Lab (REL), Prince Sultan University (PSU), Riyadh 11586, Saudi Arabia
Aritra Ghosh: Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK
Eklas Hossain: Oregon Renewable Energy Center (OREC), Department of Electrical Engineering and Renewable Energy, Oregon Institute of Technology, Klamath Falls, OR 97601, USA

Sustainability, 2021, vol. 13, issue 23, 1-35

Abstract: The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs) through the enhancement and modernization of energy generation and management practices. The smart grid enables efficient communication between utilities and the end- users, and enhances the user experience by monitoring and controlling the energy transmission. The smart grid deals with an enormous amount of energy data, and the absence of proper techniques for data collection, processing, monitoring and decision-making ultimately makes the system ineffective. Big data analytics, in association with the smart grid, enable better grid visualization and contribute toward the attainment of sustainability. The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts. This study provides clear insights into energy data generated in the grid and the possibilities of energy theft affecting the sustainable future. The paper provides insights about the importance of big data analytics, with their effects on the smart grids’ performance towards the achievement of SDGs. The work highlights efficient real-time energy data management involving artificial intelligence and machine learning for a better future, to short out the effects of the conventional smart grid without big data analytics. Finally, the work discusses the challenges and future directions to improve smart grid technologies with big data analytics in action.

Keywords: smart grid; energy data; big data analytics; energy management systems; Sustainable Development Goals (SDGs) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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