Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings
<p dir="ltr">In strategic energy planning, human-oriented factors are uncertain and lead to unpredictable challenges. Thus, decision-makers must contextualize the target society to address these uncertainties. More precisely, uncertainties lead to performance gaps between assumed and...
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2022
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| _version_ | 1864513536171966464 |
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| author | Esmat Zaidan (16855203) |
| author2 | Ammar Abulibdeh (15785928) Ahmad Alban (17563011) Rateb Jabbar (16946565) |
| author2_role | author author author |
| author_facet | Esmat Zaidan (16855203) Ammar Abulibdeh (15785928) Ahmad Alban (17563011) Rateb Jabbar (16946565) |
| author_role | author |
| dc.creator.none.fl_str_mv | Esmat Zaidan (16855203) Ammar Abulibdeh (15785928) Ahmad Alban (17563011) Rateb Jabbar (16946565) |
| dc.date.none.fl_str_mv | 2022-07-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.buildenv.2022.109177 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Motivation_preference_socioeconomic_and_building_features_New_paradigm_of_analyzing_electricity_consumption_in_residential_buildings/24745590 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Built environment and design Building Economics Econometrics Engineering Electrical engineering Environmental engineering Information and computing sciences Machine learning Human-building interactions Preference Motivation Socioeconomic characteristics Building features Energy consumption |
| dc.title.none.fl_str_mv | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In strategic energy planning, human-oriented factors are uncertain and lead to unpredictable challenges. Thus, decision-makers must contextualize the target society to address these uncertainties. More precisely, uncertainties lead to performance gaps between assumed and actual sustainability target outcomes. This study proposed a new framework that considers vital elements, including occupant motivation, preference, socioeconomic characteristics, and building features (MPSEB). To utilize this model, a thorough face-to-face survey questionnaire was administered to measure these elements. This study explored how these elements affect the patterns of residential energy consumption in a region with numerous expat communities of various ethnic and cultural backgrounds. In particular, the study investigated the patterns of energy behaviors and human-building interactions among the residents of Qatar by collecting empirical evidence and conducting a subsequent survey analysis. Machine learning approaches were employed to explore the survey data and determine the interdependencies between features, as well as the significance of the fundamental factors influencing human-building interactions. The XGBoost method was used to conduct a feature importance analysis to determine factors contributing to residential energy consumption. The results revealed the primary behavioral and socioeconomic factors that affect residential energy consumption, and confirmed the influence of human factors in Qatar while considering its diverse population.</p><h2>Other Information</h2><p dir="ltr">Published in: Building and Environment<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.buildenv.2022.109177" target="_blank">https://dx.doi.org/10.1016/j.buildenv.2022.109177</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_0055a6ab943d2f27e3744db44a5908a7 |
| identifier_str_mv | 10.1016/j.buildenv.2022.109177 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24745590 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildingsEsmat Zaidan (16855203)Ammar Abulibdeh (15785928)Ahmad Alban (17563011)Rateb Jabbar (16946565)Built environment and designBuildingEconomicsEconometricsEngineeringElectrical engineeringEnvironmental engineeringInformation and computing sciencesMachine learningHuman-building interactionsPreferenceMotivationSocioeconomic characteristicsBuilding featuresEnergy consumption<p dir="ltr">In strategic energy planning, human-oriented factors are uncertain and lead to unpredictable challenges. Thus, decision-makers must contextualize the target society to address these uncertainties. More precisely, uncertainties lead to performance gaps between assumed and actual sustainability target outcomes. This study proposed a new framework that considers vital elements, including occupant motivation, preference, socioeconomic characteristics, and building features (MPSEB). To utilize this model, a thorough face-to-face survey questionnaire was administered to measure these elements. This study explored how these elements affect the patterns of residential energy consumption in a region with numerous expat communities of various ethnic and cultural backgrounds. In particular, the study investigated the patterns of energy behaviors and human-building interactions among the residents of Qatar by collecting empirical evidence and conducting a subsequent survey analysis. Machine learning approaches were employed to explore the survey data and determine the interdependencies between features, as well as the significance of the fundamental factors influencing human-building interactions. The XGBoost method was used to conduct a feature importance analysis to determine factors contributing to residential energy consumption. The results revealed the primary behavioral and socioeconomic factors that affect residential energy consumption, and confirmed the influence of human factors in Qatar while considering its diverse population.</p><h2>Other Information</h2><p dir="ltr">Published in: Building and Environment<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.buildenv.2022.109177" target="_blank">https://dx.doi.org/10.1016/j.buildenv.2022.109177</a></p>2022-07-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.buildenv.2022.109177https://figshare.com/articles/journal_contribution/Motivation_preference_socioeconomic_and_building_features_New_paradigm_of_analyzing_electricity_consumption_in_residential_buildings/24745590CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/247455902022-07-01T00:00:00Z |
| spellingShingle | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings Esmat Zaidan (16855203) Built environment and design Building Economics Econometrics Engineering Electrical engineering Environmental engineering Information and computing sciences Machine learning Human-building interactions Preference Motivation Socioeconomic characteristics Building features Energy consumption |
| status_str | publishedVersion |
| title | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings |
| title_full | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings |
| title_fullStr | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings |
| title_full_unstemmed | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings |
| title_short | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings |
| title_sort | Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings |
| topic | Built environment and design Building Economics Econometrics Engineering Electrical engineering Environmental engineering Information and computing sciences Machine learning Human-building interactions Preference Motivation Socioeconomic characteristics Building features Energy consumption |