Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach
The transition towards sustainable energy systems demands innovative solutions to overcome the challenges of integrating diverse energy carriers, fluctuating market dynamics, and operator decision-making complexities. The active involvement of local multi-carrier energy systems (LMCES) as virtual po...
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2025
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| Online Access: | http://dx.doi.org/10.1016/j.segan.2025.101679 https://www.sciencedirect.com/science/article/pii/S235246772500061X http://hdl.handle.net/10576/65656 |
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| _version_ | 1857415083673518080 |
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| author | Dorahaki, Sobhan |
| author2 | Muyeen, S.M. Amjady, Nima Qarnain, Syed Shuibul Benbouzid, Mohamed |
| author2_role | author author author author |
| author_facet | Dorahaki, Sobhan Muyeen, S.M. Amjady, Nima Qarnain, Syed Shuibul Benbouzid, Mohamed |
| author_role | author |
| dc.creator.none.fl_str_mv | Dorahaki, Sobhan Muyeen, S.M. Amjady, Nima Qarnain, Syed Shuibul Benbouzid, Mohamed |
| dc.date.none.fl_str_mv | 2025-06-22T07:50:15Z 2025-06-30 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.segan.2025.101679 Dorahaki, S., Muyeen, S. M., Amjady, N., Qarnain, S. S., & Benbouzid, M. (2025). Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach. Sustainable Energy, Grids and Networks, 42, 101679. 23524677 https://www.sciencedirect.com/science/article/pii/S235246772500061X http://hdl.handle.net/10576/65656 42 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Behavioral economics Local multi-carrier energy system (LMCES) Optimization Prospect theory Self-scheduling |
| dc.title.none.fl_str_mv | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The transition towards sustainable energy systems demands innovative solutions to overcome the challenges of integrating diverse energy carriers, fluctuating market dynamics, and operator decision-making complexities. The active involvement of local multi-carrier energy systems (LMCES) as virtual power plants in upstream energy markets is particularly hindered by the limitations of conventional optimization methods, which fail to capture the nuanced behavioral aspects of decision-making. This paper presents a novel prescriptive behavioral analytics framework for LMCES self-scheduling, integrating insights from prospect theory to address the operator’s behavioral tendencies, including loss aversion, subjective risk attitudes, and mental reference points. By embedding these behavioral considerations into a mixed integer linear programming (MILP) model, the proposed approach accounts for real-world decision-making complexities often overlooked in conventional economic theories based on rationality. Comparative analyses demonstrate that the proposed framework not only enhances the modeling of LMCES operators’ decision-making processes but also improves energy scheduling efficiency and supports sustainable energy transitions. The findings provide actionable insights for optimizing LMCES operations, advancing their role in achieving energy sustainability goals. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_cca18bb945c2587e51b2dba8bcd46131 |
| identifier_str_mv | Dorahaki, S., Muyeen, S. M., Amjady, N., Qarnain, S. S., & Benbouzid, M. (2025). Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach. Sustainable Energy, Grids and Networks, 42, 101679. 23524677 42 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/65656 |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| spelling | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approachDorahaki, SobhanMuyeen, S.M.Amjady, NimaQarnain, Syed ShuibulBenbouzid, MohamedBehavioral economicsLocal multi-carrier energy system (LMCES)OptimizationProspect theorySelf-schedulingThe transition towards sustainable energy systems demands innovative solutions to overcome the challenges of integrating diverse energy carriers, fluctuating market dynamics, and operator decision-making complexities. The active involvement of local multi-carrier energy systems (LMCES) as virtual power plants in upstream energy markets is particularly hindered by the limitations of conventional optimization methods, which fail to capture the nuanced behavioral aspects of decision-making. This paper presents a novel prescriptive behavioral analytics framework for LMCES self-scheduling, integrating insights from prospect theory to address the operator’s behavioral tendencies, including loss aversion, subjective risk attitudes, and mental reference points. By embedding these behavioral considerations into a mixed integer linear programming (MILP) model, the proposed approach accounts for real-world decision-making complexities often overlooked in conventional economic theories based on rationality. Comparative analyses demonstrate that the proposed framework not only enhances the modeling of LMCES operators’ decision-making processes but also improves energy scheduling efficiency and supports sustainable energy transitions. The findings provide actionable insights for optimizing LMCES operations, advancing their role in achieving energy sustainability goals.This publication was made possible by the 1st Cycle of ARG Grant no. ARG01-0504-230073, from the Qatar Research, Development and Innovation (QRDI) Council, Qatar. The findings herein reflect the work, and are solely the responsibility, of the authors. The authors also gratefully acknowledge support from Qatar University. Open Access funding provided by the Qatar National Library.Elsevier2025-06-22T07:50:15Z2025-06-30Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.segan.2025.101679Dorahaki, S., Muyeen, S. M., Amjady, N., Qarnain, S. S., & Benbouzid, M. (2025). Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach. Sustainable Energy, Grids and Networks, 42, 101679.23524677https://www.sciencedirect.com/science/article/pii/S235246772500061Xhttp://hdl.handle.net/10576/6565642enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/656562025-06-22T19:08:05Z |
| spellingShingle | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach Dorahaki, Sobhan Behavioral economics Local multi-carrier energy system (LMCES) Optimization Prospect theory Self-scheduling |
| status_str | publishedVersion |
| title | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach |
| title_full | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach |
| title_fullStr | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach |
| title_full_unstemmed | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach |
| title_short | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach |
| title_sort | Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach |
| topic | Behavioral economics Local multi-carrier energy system (LMCES) Optimization Prospect theory Self-scheduling |
| url | http://dx.doi.org/10.1016/j.segan.2025.101679 https://www.sciencedirect.com/science/article/pii/S235246772500061X http://hdl.handle.net/10576/65656 |