Energy Monitoring Platform: A High-Performance Smart Meter Data Analytics Engine
Akshay Venkatesan1, Deepanshu Sehgal2, Sushant Sharma3

1Akshay Venkatesan*, Engineering student, North Cap University, Gurugram, Haryana, India.
2Deepanshu Sehgal, Engineering student, North Cap University, Gurugram, Haryana, India.
Sushant Sharma, Engineering student, North Cap University, Gurugram, Haryana, India.
Manuscript received on March 10, 2021. | Revised Manuscript received on March 16, 2021. | Manuscript published on April 30, 2021. | PP: 47-51 | Volume-10 Issue-4, April 2021. | Retrieval Number: 100.1/ijeat.D23180410421 | DOI: 10.35940/ijeat.D2318.0410421
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: 4th Industrial revolution or Industry 4.0 is a concept of factories in which machines are augmented with wireless connectivity and sensors, connected to a system that can visualize the entire production line and make decisions on its own. To remain competitive, Industries or factories are one of the major factors leading to the consumption of energy. However, these industries are facing two obstacles. The first one is the low availability of energy and the other is increased cost of the current available energy. Different alternatives like Generators and Inverters have their limitations when it comes to cost and supply. The industries need to optimize the usage to stay price in check. It has become a necessity for the industries reduce energy consumption for a comparable level of activity to observe it. The platform is the answer to these problems. It is a solution that puts the client/user in control of their energy consumption by enabling live monitoring of the energy smart grid data via a dedicated online platform.
Keywords: Elastic Map Reduce, Flask API, S3 storage, Regression
Scope of the Article: Energy Monitoring