A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market

Kshama Dwarakanath; Sameer Kulkarni; Rohan Rao; N. Nishanth

doi:10.1109/ICCE-ASIA.2017.8309318

A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market

Kshama Dwarakanath, Sameer Kulkarni, Rohan Rao, N. Nishanth

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Smart Grid and Internet of Things (IoT) are the latest trends respectively in the domains of Power Engineering and Computer Science. The amalgamation of the two presents enormous potential to improve the efficiency, security and reliability of the power grid. In this paper, the authors review existing solutions and propose their ideas, as an improvement over existing techniques to realise the idea of a Smart Grid and a competitive Energy market by application of Mathematical and Statistical tools to analyse and predict load demand as well as agent behaviour in the present scenario.

Original language	English
Title of host publication	2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	12-16
Number of pages	5
ISBN (Electronic)	9781538627877
DOIs	https://doi.org/10.1109/ICCE-ASIA.2017.8309318
State	Published - Jul 2 2017
Externally published	Yes
Event	2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017 - Bengaluru, India Duration: Oct 5 2017 → Oct 7 2017

Publication series

Name	2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017
Volume	2018-January

Conference

Conference	2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017
Country/Territory	India
City	Bengaluru
Period	10/5/17 → 10/7/17

Keywords

Demand side management
Internet of Things
Neural networks
Time series analysis

Access to Document

10.1109/ICCE-ASIA.2017.8309318

Cite this

Dwarakanath, K., Kulkarni, S., Rao, R., & Nishanth, N. (2017). A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market. In 2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017 (pp. 12-16). (2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-ASIA.2017.8309318

Dwarakanath, Kshama ; Kulkarni, Sameer ; Rao, Rohan et al. / A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market. 2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 12-16 (2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017).

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abstract = "Smart Grid and Internet of Things (IoT) are the latest trends respectively in the domains of Power Engineering and Computer Science. The amalgamation of the two presents enormous potential to improve the efficiency, security and reliability of the power grid. In this paper, the authors review existing solutions and propose their ideas, as an improvement over existing techniques to realise the idea of a Smart Grid and a competitive Energy market by application of Mathematical and Statistical tools to analyse and predict load demand as well as agent behaviour in the present scenario.",

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author = "Kshama Dwarakanath and Sameer Kulkarni and Rohan Rao and N. Nishanth",

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Dwarakanath, K, Kulkarni, S, Rao, R & Nishanth, N 2017, A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market. in 2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017. 2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 12-16, 2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017, Bengaluru, India, 10/5/17. https://doi.org/10.1109/ICCE-ASIA.2017.8309318

A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market. / Dwarakanath, Kshama; Kulkarni, Sameer; Rao, Rohan et al.
2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 12-16 (2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Dwarakanath K, Kulkarni S, Rao R, Nishanth N. A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market. In 2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 12-16. (2017 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2017). doi: 10.1109/ICCE-ASIA.2017.8309318

A study of load prediction and load flow patterns in an IoT enabled Smart Grid with a dynamic energy market

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Keywords

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