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

Tayyibah Khanam, M.S. Alam, Sanchari Deb, Yasser Rafat

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 utiliza-
tion of data-driven approaches to move a step ahead in achieving sustainable devel-
opment 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 devel-
opment, 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 elec-
tric 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.