The role of big data and digitalization in energy transition and business sustainability
Selman Sevindik
Chapter 5 in The Elgar Companion to Energy and Sustainability, 2024, pp 90-107 from Edward Elgar Publishing
Abstract:
The global energy landscape is undergoing a transformative shift towards sustainability, driven by the urgent need to mitigate climate change. This transition requires innovative solutions, where big data and digitalization emerge as pivotal catalysts. Big data facilitates data-driven decision-making and optimizes energy systems, generating real-time insights through smart devices, sensors and internet of things. This helps to facilitate informed decisions, demand forecasting, and optimized energy distribution. Digitalization enhances utilizing technologies like smart grids for producer-consumer bidirectional communication. It ensures integration of renewable sources, addressing solar and wind power intermittency for a stable energy supply. Despite substantial potential, challenges persist in big data and digitalization implementation, with data privacy and security requiring robust measures. This chapter delves into their transformative impact, defining roles, underscoring digitalization’s significance in smart grids, and proposing mitigation strategies while exploring future trends like Internet of Things, Artificial Intelligence, Deep Learning, Blockchain in data analysis and decision-making.
Keywords: Business and Management; Development Studies; Economics and Finance; Environment; Geography; Innovations and Technology; Law - Academic; Politics and Public Policy Sustainable Development Goals (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781035307494.00012 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:22102_5
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().