Big Data Applications in Smart Sustainable Energy Systems and E-Mobility: Review and Case Study

Khanam, Tayyibah; Alam, Mohammad Saad; Deb, Sanchari; Rafat, Yasser

doi:10.1007/978-981-16-7723-6_9

Tayyibah Khanam⁶,
Mohammad Saad Alam⁶,
Sanchari Deb⁷ &
…
Yasser Rafat⁸

391 Accesses

Abstract

Since sustainability-related concerns need to be answered beforehand, a vast majority of research in the recent past has been focussing on the potential utilization of data-driven approaches to move a step ahead in achieving sustainable development goals. While big data in itself is not technological advancement, practices such as analysis of data sets and implementation of Machine Learning algorithms on data sets can give deeper insights and understanding to aid the decision-making process of organizations. With the increasing amount of data in almost every sector, it is now even possible to get accurate predictions for practical purposes. Hence, big data sciences can be viewed as a paradigm shift in achieving sustainable development goals. First-hand, this chapter gives necessary background about sustainable development, renewable energy, big data, and E-mobility. Since smart cities are expected to integrate several important components of human–nature interactions in the near future, we perform a review of the existing literature to examine the current research directions in the role of big data tools and technologies in different components of smart cities. Additionally, pieces of literature on the applications of big data in electric vehicles are closely reviewed for better understanding & problem formulation. Lastly, this chapter also presents a case study based on traffic congestion data to analyse and understand the charging behaviour of users across the city of Mumbai and thus draw relevant conclusions regarding the Charging Pile Network of the city.

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Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India
Tayyibah Khanam & Mohammad Saad Alam
Electric Power Train Group, VTT Technical Research Centre, Espoo, Finland
Sanchari Deb
Department of Mechanical Engineering, Aligarh Muslim University, Aligarh, India
Yasser Rafat

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Tayyibah Khanam
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Mohammad Saad Alam
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Sanchari Deb
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Yasser Rafat
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Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India
Irfan Ali
Department of Mechanical Engineering, MCKV Institute of Engineering, West Bengal, India
Prasenjit Chatterjee
Department of Mathematics, University of Burdwan, West Bengal, India
Ali Akbar Shaikh
Amity School of Business, Amity University, Noida, India
Neha Gupta
Industrial Engineering Department, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
Ali AlArjani

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Khanam, T., Alam, M.S., Deb, S., Rafat, Y. (2022). Big Data Applications in Smart Sustainable Energy Systems and E-Mobility: Review and Case Study. In: Ali, I., Chatterjee, P., Shaikh, A.A., Gupta, N., AlArjani, A. (eds) Computational Modelling in Industry 4.0. Springer, Singapore. https://doi.org/10.1007/978-981-16-7723-6_9

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DOI: https://doi.org/10.1007/978-981-16-7723-6_9
Published: 12 February 2022
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