Estimation of Domestic Load Profile for Effective Demand-Side Management

In this article domestic base and shift based load profile are estimated for effective Demand Side Management (DSM). Domestic electricity consumption in Pakistan accounts for approximately 40% of total electricity sales. Effective DSM can reduce electricity consumption. Power generation companies are increasingly recognising the importance of analysing their customers' consumption patterns. This article proposes an agent-based modelling approach for forecasting household electricity consumption profile. AnyLogic software is used for establishing the model that uses variables and functions to estimate base and shiftable load of three hundred households. This article also estimates the weekly and 24- hour load profile for effective DSM operations by smart grid infrastructure. The results show that the agent-based simulation closely approximates real-time data, with a difference of only 2.4%.

Authors

Institutions

Publication Details

Journal
Engineering World
Published
2024-10-08
DOI
https://doi.org/10.37394/232025.2024.6.10
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of Domestic Load Profile for Effective Demand-Side Management

Attique Ur Rehman, Ihsan Ullah Khalil, Muqadas Jalal, Azhar Ul-Haq
1 links
Engineering World
Smart Grid Energy Management
article

Estimation of Domestic Load Profile for Effective Demand-Side Management

Attique Ur Rehman, Ihsan Ullah Khalil, Muqadas Jalal, Azhar Ul-Haq
article en

Abstract

In this article domestic base and shift based load profile are estimated for effective Demand Side Management (DSM). Domestic electricity consumption in Pakistan accounts for approximately 40% of total electricity sales. Effective DSM can reduce electricity consumption. Power generation companies are increasingly recognising the importance of analysing their customers' consumption patterns. This article proposes an agent-based modelling approach for forecasting household electricity consumption profile. AnyLogic software is used for establishing the model that uses variables and functions to estimate base and shiftable load of three hundred households. This article also estimates the weekly and 24- hour load profile for effective DSM operations by smart grid infrastructure. The results show that the agent-based simulation closely approximates real-time data, with a difference of only 2.4%.

Engineering WorldVol. 6
National University of Technology (PK), National University of Sciences and Technology (PK)
Affordable and clean energy
Openalex Percentile: Top 85%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Estimation of Domestic Load Profile for Effective Demand-Side Management — Attique Ur Rehman, Ihsan Ullah Khalil, et al. · Engineering World (2024) | TGRS Research Map | TGRS