Statistical analysis of environment and climate drifts on energy profile of smart grid consumers

U. Farid; Z. Ullah; I. Hussain; S. M. Ali; B. Khan; C. A. Mehmood; M. F. Qureshi

doi:10.1109/RAEE.2017.8246146

Statistical analysis of environment and climate drifts on energy profile of smart grid consumers

U. Farid, Z. Ullah, I. Hussain, S. M. Ali, B. Khan, C. A. Mehmood, M. F. Qureshi

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

2 Scopus citations

Abstract

Energy consumption is directly affected by living standards and lifestyles of the consumers. Energy profiles of different smart grid consumers, such as (a) Residential, (b) Commercial, and (c) Industries directly relates to climate drift, weather parameters, and environment. Keeping in mind the aforesaid factors, there is an emergent need of designing correlation models for demand and weather parameters namely: (a) Dry Bulb Temperature, (b) Relative Humidity, (c) Dew Point, (d) Cloud Cover, and (e) Wind Speed. In this paper, we discussed different environmental and weather parameters that affect consumer demand. Moreover, correlation models are developed, such as (a) Spearman, (b) Pearson, and (c) Kendall, an interrelation between weather drift (independent), demand (load, dependent parameter), and month (January and June). Furthermore, we considered United State (Texas), and month of each season for more validation and evaluating the relation between the demand and weather parameters.

Original language	English
Title of host publication	2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017
Editors	Muhammad Shahid Nazir, Sufi Tabassum Gul, Shahzad Nadeem
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538622346
DOIs	https://doi.org/10.1109/RAEE.2017.8246146
State	Published - 28 Jun 2017
Externally published	Yes
Event	3rd IEEE International Symposium on Recent Advances in Electrical Engineering, RAEE 2017 - Islamabad, Pakistan Duration: 24 Oct 2017 → 26 Oct 2017

Publication series

Name	2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017
Volume	2018-January

Conference

Conference	3rd IEEE International Symposium on Recent Advances in Electrical Engineering, RAEE 2017
Country/Territory	Pakistan
City	Islamabad
Period	24/10/17 → 26/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Climate Drift
Correlation Models
Energy profile
Smart Grid

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Control and Optimization
Instrumentation

Access to Document

10.1109/RAEE.2017.8246146

Cite this

Farid, U., Ullah, Z., Hussain, I., Ali, S. M., Khan, B., Mehmood, C. A., & Qureshi, M. F. (2017). Statistical analysis of environment and climate drifts on energy profile of smart grid consumers. In M. S. Nazir, S. T. Gul, & S. Nadeem (Eds.), 2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017 (pp. 1-6). (2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAEE.2017.8246146

Farid, U. ; Ullah, Z. ; Hussain, I. et al. / Statistical analysis of environment and climate drifts on energy profile of smart grid consumers. 2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017. editor / Muhammad Shahid Nazir ; Sufi Tabassum Gul ; Shahzad Nadeem. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-6 (2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017).

@inproceedings{32f53e5d6cb74d1abb4c418267a9f6a0,

title = "Statistical analysis of environment and climate drifts on energy profile of smart grid consumers",

abstract = "Energy consumption is directly affected by living standards and lifestyles of the consumers. Energy profiles of different smart grid consumers, such as (a) Residential, (b) Commercial, and (c) Industries directly relates to climate drift, weather parameters, and environment. Keeping in mind the aforesaid factors, there is an emergent need of designing correlation models for demand and weather parameters namely: (a) Dry Bulb Temperature, (b) Relative Humidity, (c) Dew Point, (d) Cloud Cover, and (e) Wind Speed. In this paper, we discussed different environmental and weather parameters that affect consumer demand. Moreover, correlation models are developed, such as (a) Spearman, (b) Pearson, and (c) Kendall, an interrelation between weather drift (independent), demand (load, dependent parameter), and month (January and June). Furthermore, we considered United State (Texas), and month of each season for more validation and evaluating the relation between the demand and weather parameters.",

keywords = "Climate Drift, Correlation Models, Energy profile, Smart Grid",

author = "U. Farid and Z. Ullah and I. Hussain and Ali, \{S. M.\} and B. Khan and Mehmood, \{C. A.\} and Qureshi, \{M. F.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd IEEE International Symposium on Recent Advances in Electrical Engineering, RAEE 2017 ; Conference date: 24-10-2017 Through 26-10-2017",

year = "2017",

month = jun,

day = "28",

doi = "10.1109/RAEE.2017.8246146",

language = "English",

series = "2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--6",

editor = "Nazir, \{Muhammad Shahid\} and Gul, \{Sufi Tabassum\} and Shahzad Nadeem",

booktitle = "2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017",

address = "United States",

}

Farid, U, Ullah, Z, Hussain, I, Ali, SM, Khan, B, Mehmood, CA & Qureshi, MF 2017, Statistical analysis of environment and climate drifts on energy profile of smart grid consumers. in MS Nazir, ST Gul & S Nadeem (eds), 2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017. 2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 3rd IEEE International Symposium on Recent Advances in Electrical Engineering, RAEE 2017, Islamabad, Pakistan, 24/10/17. https://doi.org/10.1109/RAEE.2017.8246146

Statistical analysis of environment and climate drifts on energy profile of smart grid consumers. / Farid, U.; Ullah, Z.; Hussain, I. et al.
2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017. ed. / Muhammad Shahid Nazir; Sufi Tabassum Gul; Shahzad Nadeem. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017; Vol. 2018-January).

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

TY - GEN

T1 - Statistical analysis of environment and climate drifts on energy profile of smart grid consumers

AU - Farid, U.

AU - Ullah, Z.

AU - Hussain, I.

AU - Ali, S. M.

AU - Khan, B.

AU - Mehmood, C. A.

AU - Qureshi, M. F.

PY - 2017/6/28

Y1 - 2017/6/28

N2 - Energy consumption is directly affected by living standards and lifestyles of the consumers. Energy profiles of different smart grid consumers, such as (a) Residential, (b) Commercial, and (c) Industries directly relates to climate drift, weather parameters, and environment. Keeping in mind the aforesaid factors, there is an emergent need of designing correlation models for demand and weather parameters namely: (a) Dry Bulb Temperature, (b) Relative Humidity, (c) Dew Point, (d) Cloud Cover, and (e) Wind Speed. In this paper, we discussed different environmental and weather parameters that affect consumer demand. Moreover, correlation models are developed, such as (a) Spearman, (b) Pearson, and (c) Kendall, an interrelation between weather drift (independent), demand (load, dependent parameter), and month (January and June). Furthermore, we considered United State (Texas), and month of each season for more validation and evaluating the relation between the demand and weather parameters.

AB - Energy consumption is directly affected by living standards and lifestyles of the consumers. Energy profiles of different smart grid consumers, such as (a) Residential, (b) Commercial, and (c) Industries directly relates to climate drift, weather parameters, and environment. Keeping in mind the aforesaid factors, there is an emergent need of designing correlation models for demand and weather parameters namely: (a) Dry Bulb Temperature, (b) Relative Humidity, (c) Dew Point, (d) Cloud Cover, and (e) Wind Speed. In this paper, we discussed different environmental and weather parameters that affect consumer demand. Moreover, correlation models are developed, such as (a) Spearman, (b) Pearson, and (c) Kendall, an interrelation between weather drift (independent), demand (load, dependent parameter), and month (January and June). Furthermore, we considered United State (Texas), and month of each season for more validation and evaluating the relation between the demand and weather parameters.

KW - Climate Drift

KW - Correlation Models

KW - Energy profile

KW - Smart Grid

UR - https://www.scopus.com/pages/publications/85049423595

U2 - 10.1109/RAEE.2017.8246146

DO - 10.1109/RAEE.2017.8246146

M3 - Conference contribution

AN - SCOPUS:85049423595

T3 - 2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017

SP - 1

EP - 6

BT - 2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017

A2 - Nazir, Muhammad Shahid

A2 - Gul, Sufi Tabassum

A2 - Nadeem, Shahzad

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Symposium on Recent Advances in Electrical Engineering, RAEE 2017

Y2 - 24 October 2017 through 26 October 2017

ER -

Farid U, Ullah Z, Hussain I, Ali SM, Khan B, Mehmood CA et al. Statistical analysis of environment and climate drifts on energy profile of smart grid consumers. In Nazir MS, Gul ST, Nadeem S, editors, 2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6. (2017 International Symposium on Recent Advances in Electrical Engineering, RAEE 2017). doi: 10.1109/RAEE.2017.8246146

Statistical analysis of environment and climate drifts on energy profile of smart grid consumers

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this