The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Energy Informatics Using the Distributed Ledger Technology and Advanced Data Analytics
Author(s): Umit Cali (University of North Carolina at Charlotte, USA)and Claudio Lima (Blockchain Engineering Council, USA)
Copyright: 2020
Pages: 44
EISBN13: 9781799813590
Purchase
View Sample PDF
Abstract
The main drivers of the third industrial revolution era were the internet technologies and rise of renewable and distributed energy technologies. Transition to green and decentralized energy resources and digital transformation of the existing industrial infrastructure had been the biggest achievements of the third industrial revolution. The main drivers of the fourth era will be artificial intelligence (AI), quantum computing, advanced biotechnology, internet of things, additive manufacturing, and most importantly, distributed ledger technology (DLT). Energy forecasting such as wind and solar power forecasting models are the most common energy AI-based informatics applications in the energy sector. In addition, use of DLT is expected to be an industrial standard in various industrial sectors including energy business in the coming decade. This chapter emphasizes description of energy forecasting using AI and energy DLT and future developments and solutions to overcome challenges that are associated with standardization of the energy DLT applications.
Related Content
|
Jeremy Gibberd.
© 2020.
29 pages.
|
|
Sana Badruddin, Cameron Ryan Robertson-Gillis, Janice Ashworth, David J. Wright.
© 2020.
37 pages.
|
|
Ilma Rodrigues de Souza Fausto, Maicon Gonzaga da Silva, Fabiana Rodrigues Leta, Sérgio Crespo Coelho da Silva Pinto, Ruth Maria Mariani Braz.
© 2023.
12 pages.
|
|
Yowei Kang.
© 2019.
28 pages.
|
|
Miguel Angel Garcia-Ruiz, Pedro Cesar Santana-Mancilla, Laura Sanely Gaytan-Lugo.
© 2019.
25 pages.
|
|
|