JOURNAL ARTICLE

Peak load scheduling in smart grid using cloud computing

Manoj R. HansVivek Kant Jogi

Year: 2019 Journal:   Bulletin of Electrical Engineering and Informatics Vol: 8 (4)   Publisher: Institute of Advanced Engineering and Science (IAES)

Abstract

In this paper present peak, energy management attainable is feasible by monitoring real-time readings of whole loads within the college premises victimization this schedule loads so energy saving is possible. Currently, cloud computing technology offer on-line real-time monitoring knowledge, we have a tendency to create project supported cloud computing application for energy management that is employed for monitoring real time consumption of electricity and load planning. With respect to monitoring knowledge, we have a tendency to be able to plot the load curves so it'll be useful in achieving optimum energy consumption for educational institute.

Keywords:
Cloud computing Computer science Schedule Smart grid Real-time computing Energy consumption Scheduling (production processes) Grid Distributed computing Engineering Operating system Operations management Electrical engineering

Metrics

8
Cited By
0.80
FWCI (Field Weighted Citation Impact)
8
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
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