The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis
- Title
- The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis
- Creator
- Saxena A.; Mahajan J.; Bhagat V.; Subha M.V.; Paul B.P.; Jain V.
- Description
- Crude oil is a valuable asset class which forms the nucleus of the energy core of the transport sector for any country. According to report [1], crude oil helps in meeting 93% of energy needs for the transportation sector globally. It has been projected across various forums that crude oil along with coal and natural gas is going to satisfy world energy needs for the forthcoming years. Consequently, it has been observed that fluctuations in crude oil prices tilt the economies of scale across the world. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.
- Source
- Artificial Intelligence in Forecasting: Tools and Techniques, pp. 283-303.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Saxena A., Christ University, India; Mahajan J., Christ University, India; Bhagat V., Christ University, India; Subha M.V., Anna University, India; Paul B.P., Christ Academy, India; Jain V., Marwadi University, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-104005150-4; 978-103250615-9
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Saxena A.; Mahajan J.; Bhagat V.; Subha M.V.; Paul B.P.; Jain V., “The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/18072.