A Hybrid Forecasting Model Using LSTM and Prophet for Energy Consumption with Decomposition of Time Series Data
| dc.contributor.author | Arslan, Serdar | |
| dc.date.accessioned | 2026-03-06T13:41:45Z | |
| dc.date.available | 2026-03-06T13:41:45Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | 10.7717/PEERJ-CS.1001 | |
| dc.identifier.issn | 2376-5992 | |
| dc.identifier.scopus | 2-s2.0-85133014348 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/15886 | |
| dc.identifier.uri | https://doi.org/10.7717/PEERJ-CS.1001 | |
| dc.language.iso | en | |
| dc.publisher | PeerJ Inc. | |
| dc.relation.ispartof | PeerJ Computer Science | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Hybrid Model | |
| dc.subject | LSTM | |
| dc.subject | Seasonality | |
| dc.subject | Time Series Forecasting | |
| dc.subject | ProphET | |
| dc.title | A Hybrid Forecasting Model Using LSTM and Prophet for Energy Consumption with Decomposition of Time Series Data | en_US |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Arslan, Serdar (57767747500) | |
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| gdc.description.department | Çankaya Üniversitesi | |
| gdc.description.departmenttemp | [Arslan S.] Computer Engineering Department, Cankaya University, Ankara, Turkey | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | e1001 | |
| gdc.description.volume | 8 | |
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| gdc.oaire.keywords | Electronic computers. Computer science | |
| gdc.oaire.keywords | Time series forecasting | |
| gdc.oaire.keywords | Prophet | |
| gdc.oaire.keywords | Data Mining and Machine Learning | |
| gdc.oaire.keywords | Seasonality | |
| gdc.oaire.keywords | QA75.5-76.95 | |
| gdc.oaire.keywords | LSTM | |
| gdc.oaire.keywords | Hybrid model | |
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| gdc.virtual.author | Arslan, Serdar | |
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