Analytical Data Representation
Sandip Mishra1
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-11 , Page no. 68-72, Nov-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i11.6872
Online published on Nov 30, 2019
Copyright © Sandip Mishra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Sandip Mishra , “Analytical Data Representation,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.11, pp.68-72, 2019.
MLA Style Citation: Sandip Mishra "Analytical Data Representation." International Journal of Computer Sciences and Engineering 7.11 (2019): 68-72.
APA Style Citation: Sandip Mishra , (2019). Analytical Data Representation. International Journal of Computer Sciences and Engineering, 7(11), 68-72.
BibTex Style Citation:
@article{Mishra_2019,
author = {Sandip Mishra },
title = {Analytical Data Representation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2019},
volume = {7},
Issue = {11},
month = {11},
year = {2019},
issn = {2347-2693},
pages = {68-72},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4947},
doi = {https://doi.org/10.26438/ijcse/v7i11.6872}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i11.6872}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4947
TI - Analytical Data Representation
T2 - International Journal of Computer Sciences and Engineering
AU - Sandip Mishra
PY - 2019
DA - 2019/11/30
PB - IJCSE, Indore, INDIA
SP - 68-72
IS - 11
VL - 7
SN - 2347-2693
ER -
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Abstract
Electricity, gas and water are the basic needs of our life. We cannot imagine our life without these resources. To sustain our lives and make our household living easier, we depend on these different resources. The household living can only get better if we’re able to utilize the resources efficiently and in a sustained manner. Analytical Data Representation helps to study the data related to different events to help and analyze various related activities to aid in several purpose. The idea of Analytical Data Representation in this project is to track and keep the record of consumption of various resources like water, gas, electricity and others of a building of a certain area. It is highly recommended and required for modern lifestyle as it reduces the time to retrieve the information and details of resource consumption easily. Calculating the resource consumption details of a building manually requires more time and effort and if the consumption target is to be set or consumption details of previous year or month has to be viewed, it’s another hard work. This tiresome work can be automated using the concept of Analytical Data Representation.
Key-Words / Index Term
Resources, Sustain, Efficiency, Consumption, Recommended
References
[1] Henrique Pombeiro, André Pina, Carlos Silva,“Analyzing residential electricity consumption patterns based on Consumer`s segmentation”, CEUR Workshop Proceedings. 923. pp.29-38,2012.
[2] D.r. K.R Subramanian ,“The crisis of consumption of natural resources”,International Journal of Recent Innovations in Academic Research,Volume-2, Issue-4, pp. 8-19,2018.
[3] Satish Palaniappan, Raghul Asokan, Srinivas Bharathwaj, N. Sujaudeen, “Automated Meter Reading System - A Study. International Journal of Computer Applications”, Volume-116, pp.39-46, 2015.
[4] C. Wei and Y. Li, "Design of energy consumption monitoring and energy-saving management system of intelligent building based on the Internet of things," 2011 International Conference on Electronics, Communications and Control (ICECC), Ningbo, pp. 3650-3652, 2011 .