Evaluating Energy Consumption Patterns in a Smart Grid with Data Analytics Models
- Title
- Evaluating Energy Consumption Patterns in a Smart Grid with Data Analytics Models
- Creator
- Mishra S.; Sivani T.; Swain T.; Sharma V.; Alkhayyat A.
- Description
- With the rapid pace of technological advancement, it is a well established fact that in todays era, economical and industrial development go hand in hand with the growth in technology. Today, massive amounts of data are generated everyday and are only growing exponentially. The collected data, whether structured or unstructured, could prove to be very beneficial in terms of improving operational efficiency by analyzing and extracting valuable information to find patterns to optimize asset utilization and improve asset intelligence. Big data analytics can very well contribute to the evolution of the digital electrical power industry. The objective of this paper is to explore how smart grid technology can be enhanced by leveraging big data analytics. Different predictive models are used for the purpose. Among them, decision tree model outperformed others recording a training and tetsing accuracy of 94.4% and 92.7% respectively while noting a least execution latency of only 4.3 seconds. 2023 IEEE.
- Source
- 2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 1072-1077.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Accuracy; Big data analytics; Decision tree; Effective energy management; Smart grid
- Coverage
- Mishra S., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sivani T., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Swain T., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., CHRIST(Deemed to be University), Delhi-NCR, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq
- Rights
- Restricted Access
- Relation
- ISBN: 979-835030541-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Mishra S.; Sivani T.; Swain T.; Sharma V.; Alkhayyat A., “Evaluating Energy Consumption Patterns in a Smart Grid with Data Analytics Models,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19726.