Exploratory Data Analysis for Demand-side Flexibility Quantification

Arqum Shahid; Roya Ahmadiahangar; Argo Rosin; Vahur Maask; João Martins

doi:10.1109/CPE-POWERENG58103.2023.10227408

Exploratory Data Analysis for Demand-side Flexibility Quantification

Arqum Shahid, Roya Ahmadiahangar, Argo Rosin, Vahur Maask, João Martins

DEE - Departamento de Engenharia Electrotécnica e de Computadores

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

Abstract

This research article explores various methods for quantifying demand-side flexibility and focuses on one particular technique based on power consumption. The study performs exploratory data analysis on the AMPds dataset in the time domain, encompassing trend and correlation analysis and attributes distribution analysis to highlight the importance of considering different factors influencing household power consumption. The analysis results are used to aid in the feature selection and extraction process of machine learning model development for determining demand-side flexibility through power consumption. This article provides valuable insights for researchers and practitioners in the energy industry looking to better understand demand-side flexibility and estimate its quantification.

Original language	English
Title of host publication	CPE-POWERENG 2023
Subtitle of host publication	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	979-8-3503-0004-8
ISBN (Print)	979-8-3503-0005-5
DOIs	https://doi.org/10.1109/CPE-POWERENG58103.2023.10227408
Publication status	Published - 2023
Event	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 - Tallinn, Estonia Duration: 14 Jun 2023 → 16 Jun 2023

Publication series

Name	Compatibility in Power Electronics (CPE)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2166-9538
ISSN (Electronic)	2166-9546

Conference

Conference	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023
Country/Territory	Estonia
City	Tallinn
Period	14/06/23 → 16/06/23

Keywords

energy consumption
exploratory data analysis
flexibility
temperature
visualization
weather

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CPE-POWERENG58103.2023.10227408

Cite this

Shahid, A., Ahmadiahangar, R., Rosin, A., Maask, V., & Martins, J. (2023). Exploratory Data Analysis for Demand-side Flexibility Quantification. In CPE-POWERENG 2023: 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (Compatibility in Power Electronics (CPE)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CPE-POWERENG58103.2023.10227408

@inproceedings{fa49a085c4bf4c868dea1434c5819458,

title = "Exploratory Data Analysis for Demand-side Flexibility Quantification",

abstract = "This research article explores various methods for quantifying demand-side flexibility and focuses on one particular technique based on power consumption. The study performs exploratory data analysis on the AMPds dataset in the time domain, encompassing trend and correlation analysis and attributes distribution analysis to highlight the importance of considering different factors influencing household power consumption. The analysis results are used to aid in the feature selection and extraction process of machine learning model development for determining demand-side flexibility through power consumption. This article provides valuable insights for researchers and practitioners in the energy industry looking to better understand demand-side flexibility and estimate its quantification.",

keywords = "energy consumption, exploratory data analysis, flexibility, temperature, visualization, weather",

author = "Arqum Shahid and Roya Ahmadiahangar and Argo Rosin and Vahur Maask and Jo{\~a}o Martins",

note = "Funding Information: This work has been supported in part by the Estonian Research Council grant PSG739 and in part by the European Economic Area (EEA) and Norway Financial Mechanism 2014–2021 under Grant EMP474. The study was also financed by the Doctoral School of Energy and Geotechnology - III, supported by the European Union, European Regional Development Fund (Tallinn University of Technology{\textquoteright}s ASTRA “TT{\"U} arenguprogramm aastateks 2016-2022” ). Publisher Copyright: {\textcopyright} 2023 IEEE.; 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 ; Conference date: 14-06-2023 Through 16-06-2023",

year = "2023",

doi = "10.1109/CPE-POWERENG58103.2023.10227408",

language = "English",

isbn = "979-8-3503-0005-5",

series = "Compatibility in Power Electronics (CPE)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "CPE-POWERENG 2023",

address = "United States",

}

Shahid, A, Ahmadiahangar, R, Rosin, A, Maask, V & Martins, J 2023, Exploratory Data Analysis for Demand-side Flexibility Quantification. in CPE-POWERENG 2023: 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Compatibility in Power Electronics (CPE), Institute of Electrical and Electronics Engineers (IEEE), 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023, Tallinn, Estonia, 14/06/23. https://doi.org/10.1109/CPE-POWERENG58103.2023.10227408

Exploratory Data Analysis for Demand-side Flexibility Quantification. / Shahid, Arqum; Ahmadiahangar, Roya; Rosin, Argo et al.
CPE-POWERENG 2023: 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Institute of Electrical and Electronics Engineers (IEEE), 2023. (Compatibility in Power Electronics (CPE)).

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

TY - GEN

T1 - Exploratory Data Analysis for Demand-side Flexibility Quantification

AU - Shahid, Arqum

AU - Ahmadiahangar, Roya

AU - Rosin, Argo

AU - Maask, Vahur

AU - Martins, João

N1 - Funding Information: This work has been supported in part by the Estonian Research Council grant PSG739 and in part by the European Economic Area (EEA) and Norway Financial Mechanism 2014–2021 under Grant EMP474. The study was also financed by the Doctoral School of Energy and Geotechnology - III, supported by the European Union, European Regional Development Fund (Tallinn University of Technology’s ASTRA “TTÜ arenguprogramm aastateks 2016-2022” ). Publisher Copyright: © 2023 IEEE.

PY - 2023

Y1 - 2023

N2 - This research article explores various methods for quantifying demand-side flexibility and focuses on one particular technique based on power consumption. The study performs exploratory data analysis on the AMPds dataset in the time domain, encompassing trend and correlation analysis and attributes distribution analysis to highlight the importance of considering different factors influencing household power consumption. The analysis results are used to aid in the feature selection and extraction process of machine learning model development for determining demand-side flexibility through power consumption. This article provides valuable insights for researchers and practitioners in the energy industry looking to better understand demand-side flexibility and estimate its quantification.

AB - This research article explores various methods for quantifying demand-side flexibility and focuses on one particular technique based on power consumption. The study performs exploratory data analysis on the AMPds dataset in the time domain, encompassing trend and correlation analysis and attributes distribution analysis to highlight the importance of considering different factors influencing household power consumption. The analysis results are used to aid in the feature selection and extraction process of machine learning model development for determining demand-side flexibility through power consumption. This article provides valuable insights for researchers and practitioners in the energy industry looking to better understand demand-side flexibility and estimate its quantification.

KW - energy consumption

KW - exploratory data analysis

KW - flexibility

KW - temperature

KW - visualization

KW - weather

UR - http://www.scopus.com/inward/record.url?scp=85171547803&partnerID=8YFLogxK

U2 - 10.1109/CPE-POWERENG58103.2023.10227408

DO - 10.1109/CPE-POWERENG58103.2023.10227408

M3 - Conference contribution

AN - SCOPUS:85171547803

SN - 979-8-3503-0005-5

T3 - Compatibility in Power Electronics (CPE)

BT - CPE-POWERENG 2023

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023

Y2 - 14 June 2023 through 16 June 2023

ER -

Shahid A, Ahmadiahangar R, Rosin A, Maask V, Martins J. Exploratory Data Analysis for Demand-side Flexibility Quantification. In CPE-POWERENG 2023: 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Institute of Electrical and Electronics Engineers (IEEE). 2023. (Compatibility in Power Electronics (CPE)). doi: 10.1109/CPE-POWERENG58103.2023.10227408

Exploratory Data Analysis for Demand-side Flexibility Quantification

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this