The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program
This paper proposes the usage of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the Demand Response program. In contrast with other related studies, this research recognizes both randomness and fuzziness in appliance usage. Moreover, the input...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2023-06-01
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| Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/127435/PDF/BPASTS_2023_71_4_3372.pdf |
| _version_ | 1797736112073998336 |
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| author | Piotr Kapler |
| author_facet | Piotr Kapler |
| author_sort | Piotr Kapler |
| collection | DOAJ |
| description | This paper proposes the usage of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the Demand Response program. In contrast with other related studies, this research recognizes both randomness and fuzziness in appliance usage. Moreover, the input data for usage prediction consists of nodal price values (which represent the actual power system conditions), appliance operation time, and time of day. The case study of residential power consumer behavior modeling was implemented to show the functionality of the proposed methodology. The results of applying the suggested algorithm are presented as colored 3D control surfaces. In addition, the performance of the model was verified using R squared coefficient and root mean square error. The conducted studies show that the proposed approach can be used to predict when the selected appliances can be used under specific circumstances. Research of this type may be useful for evaluation of the demand response programs and support residential load forecasting. |
| first_indexed | 2024-03-12T13:08:53Z |
| format | Article |
| id | doaj.art-f606586f11e2414cba4a82ae3eaa9a12 |
| institution | Directory Open Access Journal |
| issn | 2300-1917 |
| language | English |
| last_indexed | 2024-03-12T13:08:53Z |
| publishDate | 2023-06-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| spelling | doaj.art-f606586f11e2414cba4a82ae3eaa9a122023-08-28T09:03:09ZengPolish Academy of SciencesBulletin of the Polish Academy of Sciences: Technical Sciences2300-19172023-06-01714https://doi.org/10.24425/bpasts.2023.146106The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response programPiotr Kapler0https://orcid.org/0000-0001-7592-2796Warsaw University of Technology, Faculty of Electrical Engineering, Electrical Power Engineering Institute, Koszykowa 75, 00-662 Warsaw, PolandThis paper proposes the usage of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the Demand Response program. In contrast with other related studies, this research recognizes both randomness and fuzziness in appliance usage. Moreover, the input data for usage prediction consists of nodal price values (which represent the actual power system conditions), appliance operation time, and time of day. The case study of residential power consumer behavior modeling was implemented to show the functionality of the proposed methodology. The results of applying the suggested algorithm are presented as colored 3D control surfaces. In addition, the performance of the model was verified using R squared coefficient and root mean square error. The conducted studies show that the proposed approach can be used to predict when the selected appliances can be used under specific circumstances. Research of this type may be useful for evaluation of the demand response programs and support residential load forecasting.https://journals.pan.pl/Content/127435/PDF/BPASTS_2023_71_4_3372.pdfdemand responseresidential power consumersuncertaintyfuzzy rule-based bayesian |
| spellingShingle | Piotr Kapler The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program Bulletin of the Polish Academy of Sciences: Technical Sciences demand response residential power consumers uncertainty fuzzy rule-based bayesian |
| title | The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program |
| title_full | The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program |
| title_fullStr | The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program |
| title_full_unstemmed | The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program |
| title_short | The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program |
| title_sort | application of the fuzzy rule based bayesian algorithm to determine which residential appliances can be considered for the demand response program |
| topic | demand response residential power consumers uncertainty fuzzy rule-based bayesian |
| url | https://journals.pan.pl/Content/127435/PDF/BPASTS_2023_71_4_3372.pdf |
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