Load Forecasting Schemes and Demand Response Programs within Smart Grid

Kaleem Ullah; Zahid Ullah; Irfanullah Khan; Fazale Wahab; Waqar Uddin; Athar Waseem; Aun Haider; Ghulam Hafeez; Sahibzada Muhammad Ali; Khadim Ullah Jan

doi:10.1109/ICECCE49384.2020.9179280

Load Forecasting Schemes and Demand Response Programs within Smart Grid

Kaleem Ullah, Zahid Ullah, Irfanullah Khan, Fazale Wahab, Waqar Uddin, Athar Waseem, Aun Haider, Ghulam Hafeez, Sahibzada Muhammad Ali, Khadim Ullah Jan

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

Abstract

Demand side management (DSM) is a promising domain for utility managers and policymakers to curtail consumers load within smart grid (SG). Due to demand-supply mismanagement, various problems arise, such as (a) voltage drift (b) current variation, (c) active and reactive-power mismatch, (d) reduced consumer empowerment and consumer satisfaction, and (e) low economic development of utility in the wholesale market. Considering above, there is a pressing need to emphasize DSM for an optimized operation of SG system. With this motivation, we reviewed demand response programs (DRPs) and load forecasting schemes (LFSs) as primary operational entities for efficient operation of SG. Moreover, we investigated the role of various DRPs for peak-shaving of consumer's load profile. Furthermore, the vital role of LFSs in economic development stabilized the operation of SG system, and inter-relationship to DRPS is reviewed. Finally, a case study is presented describing computer-based simulation study of DRPs and LFSs utilizing real-time data of Texas (USA).

Original language	English
Title of host publication	2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728171166
DOIs	https://doi.org/10.1109/ICECCE49384.2020.9179280
State	Published - Jun 2020
Externally published	Yes

Publication series

Name	2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

demand response programs
demand-supply management
load forecasting scheme
smart grid

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Signal Processing
Electrical and Electronic Engineering
Control and Optimization
Health Informatics

Access to Document

10.1109/ICECCE49384.2020.9179280

Cite this

Ullah, K., Ullah, Z., Khan, I., Wahab, F., Uddin, W., Waseem, A., Haider, A., Hafeez, G., Ali, S. M., & Jan, K. U. (2020). Load Forecasting Schemes and Demand Response Programs within Smart Grid. In 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020 Article 9179280 (2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECCE49384.2020.9179280

Ullah, Kaleem ; Ullah, Zahid ; Khan, Irfanullah et al. / Load Forecasting Schemes and Demand Response Programs within Smart Grid. 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020).

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title = "Load Forecasting Schemes and Demand Response Programs within Smart Grid",

abstract = "Demand side management (DSM) is a promising domain for utility managers and policymakers to curtail consumers load within smart grid (SG). Due to demand-supply mismanagement, various problems arise, such as (a) voltage drift (b) current variation, (c) active and reactive-power mismatch, (d) reduced consumer empowerment and consumer satisfaction, and (e) low economic development of utility in the wholesale market. Considering above, there is a pressing need to emphasize DSM for an optimized operation of SG system. With this motivation, we reviewed demand response programs (DRPs) and load forecasting schemes (LFSs) as primary operational entities for efficient operation of SG. Moreover, we investigated the role of various DRPs for peak-shaving of consumer's load profile. Furthermore, the vital role of LFSs in economic development stabilized the operation of SG system, and inter-relationship to DRPS is reviewed. Finally, a case study is presented describing computer-based simulation study of DRPs and LFSs utilizing real-time data of Texas (USA).",

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year = "2020",

month = jun,

doi = "10.1109/ICECCE49384.2020.9179280",

language = "English",

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Ullah, K, Ullah, Z, Khan, I, Wahab, F, Uddin, W, Waseem, A, Haider, A, Hafeez, G, Ali, SM & Jan, KU 2020, Load Forecasting Schemes and Demand Response Programs within Smart Grid. in 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020., 9179280, 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICECCE49384.2020.9179280

Load Forecasting Schemes and Demand Response Programs within Smart Grid. / Ullah, Kaleem; Ullah, Zahid; Khan, Irfanullah et al.
2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9179280 (2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020).

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

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AU - Ullah, Kaleem

AU - Ullah, Zahid

AU - Khan, Irfanullah

AU - Wahab, Fazale

AU - Uddin, Waqar

AU - Waseem, Athar

AU - Haider, Aun

AU - Hafeez, Ghulam

AU - Ali, Sahibzada Muhammad

AU - Jan, Khadim Ullah

PY - 2020/6

Y1 - 2020/6

N2 - Demand side management (DSM) is a promising domain for utility managers and policymakers to curtail consumers load within smart grid (SG). Due to demand-supply mismanagement, various problems arise, such as (a) voltage drift (b) current variation, (c) active and reactive-power mismatch, (d) reduced consumer empowerment and consumer satisfaction, and (e) low economic development of utility in the wholesale market. Considering above, there is a pressing need to emphasize DSM for an optimized operation of SG system. With this motivation, we reviewed demand response programs (DRPs) and load forecasting schemes (LFSs) as primary operational entities for efficient operation of SG. Moreover, we investigated the role of various DRPs for peak-shaving of consumer's load profile. Furthermore, the vital role of LFSs in economic development stabilized the operation of SG system, and inter-relationship to DRPS is reviewed. Finally, a case study is presented describing computer-based simulation study of DRPs and LFSs utilizing real-time data of Texas (USA).

AB - Demand side management (DSM) is a promising domain for utility managers and policymakers to curtail consumers load within smart grid (SG). Due to demand-supply mismanagement, various problems arise, such as (a) voltage drift (b) current variation, (c) active and reactive-power mismatch, (d) reduced consumer empowerment and consumer satisfaction, and (e) low economic development of utility in the wholesale market. Considering above, there is a pressing need to emphasize DSM for an optimized operation of SG system. With this motivation, we reviewed demand response programs (DRPs) and load forecasting schemes (LFSs) as primary operational entities for efficient operation of SG. Moreover, we investigated the role of various DRPs for peak-shaving of consumer's load profile. Furthermore, the vital role of LFSs in economic development stabilized the operation of SG system, and inter-relationship to DRPS is reviewed. Finally, a case study is presented describing computer-based simulation study of DRPs and LFSs utilizing real-time data of Texas (USA).

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T3 - 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020

BT - 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Ullah K, Ullah Z, Khan I, Wahab F, Uddin W, Waseem A et al. Load Forecasting Schemes and Demand Response Programs within Smart Grid. In 2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9179280. (2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020). doi: 10.1109/ICECCE49384.2020.9179280

Load Forecasting Schemes and Demand Response Programs within Smart Grid

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this