A Smart Home Demand Response System based on Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic
| dc.contributor.author | Mert Nakıp | |
| dc.contributor.author | Arda Asut | |
| dc.contributor.author | Cennet Kocabiyik | |
| dc.contributor.author | Cüneyt Güzeliş | |
| dc.contributor.author | Kocabiyik, Cennet | |
| dc.contributor.author | Güzelis, Cuneyt | |
| dc.contributor.author | Asut, Arda | |
| dc.contributor.author | Nakip, Mert | |
| dc.date.accessioned | 2025-10-06T17:50:36Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Distributing the peak load and alleviating grid stress by considering hourly electricity prices are some of the main research problems for current smart grid systems. This paper deals with the scheduling problem of home appliances' operating hours in smart grids which aims to achieve minimum cost in user-defined operation intervals. To this end scheduling via Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic (ANN-AH) method that emulates the operation of the optimization for smart home demand response is developed. Our results show that a home demand response via ANN-AH achieves close to optimal performance with 10 times lower execution time than the optimal scheduling. These results suggest that the ANN-AH based demand response is highly successful and practical and it is promising for future applications in micro-grid and decentralized renewable energy systems. © 2022 Elsevier B.V. All rights reserved. | |
| dc.identifier.doi | 10.23919/ELECO54474.2021.9677670 | |
| dc.identifier.isbn | 9786050114379 | |
| dc.identifier.scopus | 2-s2.0-85125252363 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125252363&doi=10.23919%2FELECO54474.2021.9677670&partnerID=40&md5=f7fb798f978a19e288ad8be3cf85b666 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/9040 | |
| dc.identifier.uri | https://doi.org/10.23919/ELECO54474.2021.9677670 | |
| dc.language.iso | English | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 13th International Conference on Electrical and Electronics Engineering ELECO 2021 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Artificial Neural Network, Demand Response, Optimization, Scheduling, Automation, Domestic Appliances, Electric Power Transmission Networks, Heuristic Methods, Neural Networks, Renewable Energy Resources, Scheduling, Smart Power Grids, 'current, Constraint Satisfaction, Demand Response, Electricity Prices, Optimisations, Peak Load, Research Problems, Response Systems, Smart Grid Systems, Smart Homes, Optimization | |
| dc.subject | Automation, Domestic appliances, Electric power transmission networks, Heuristic methods, Neural networks, Renewable energy resources, Scheduling, Smart power grids, 'current, Constraint Satisfaction, Demand response, Electricity prices, Optimisations, Peak load, Research problems, Response systems, Smart grid systems, Smart homes, Optimization | |
| dc.subject | Scheduling | |
| dc.subject | Artificial Neural Network | |
| dc.subject | Optimization | |
| dc.subject | Demand Response | |
| dc.title | A Smart Home Demand Response System based on Artificial Neural Networks Augmented with Constraint Satisfaction Heuristic | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| gdc.author.scopusid | 57212473263 | |
| gdc.author.scopusid | 57467036900 | |
| gdc.author.scopusid | 57467180600 | |
| gdc.author.scopusid | 55937768800 | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | ||
| gdc.description.departmenttemp | [Nakip M.] Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (PAN), Gliwice, Poland; [Asut A.] Yasar University, Department of Electrical and Electronics Engineering, Izmir, Turkey; [Kocabiyik C.] Yasar University, Department of Electrical and Electronics Engineering, Izmir, Turkey; [Güzelis C.] Yasar University, Department of Electrical and Electronics Engineering, Izmir, Turkey | |
| gdc.description.endpage | 584 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 580 | |
| gdc.identifier.openalex | W4206979129 | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 2.0 | |
| gdc.oaire.influence | 2.5551201E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.popularity | 2.9268536E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 1.731 | |
| gdc.openalex.normalizedpercentile | 0.85 | |
| gdc.opencitations.count | 2 | |
| gdc.plumx.mendeley | 5 | |
| gdc.plumx.scopuscites | 3 | |
| gdc.scopus.citedcount | 3 | |
| gdc.virtual.author | Nakip, Mert | |
| gdc.virtual.author | Güzeliş, Cüneyt | |
| oaire.citation.endPage | 584 | |
| oaire.citation.startPage | 580 | |
| person.identifier.scopus-author-id | Nakıp- Mert (57212473263), Asut- Arda (57467180600), Kocabiyik- Cennet (57467036900), Güzeliş- Cüneyt (55937768800) | |
| relation.isAuthorOfPublication | 670a1489-4737-49fd-8315-a24932013d60 | |
| relation.isAuthorOfPublication | 10f564e3-6c1c-4354-9ce3-b5ac01e39680 | |
| relation.isAuthorOfPublication.latestForDiscovery | 670a1489-4737-49fd-8315-a24932013d60 | |
| relation.isOrgUnitOfPublication | ac5ddece-c76d-476d-ab30-e4d3029dee37 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | ac5ddece-c76d-476d-ab30-e4d3029dee37 |