A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data.
<p>A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data.</p>
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2025
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| _version_ | 1852023854975680512 |
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| author | Abrar Ahmed (786961) |
| author2 | Safdar Ali (3095124) Ali Raza (3558965) Ibrar Hussain (2365528) Ahmad Bilal (13327050) Norma Latif Fitriyani (20521497) Yeonghyeon Gu (20521500) Muhammad Syafrudin (20521503) |
| author2_role | author author author author author author author |
| author_facet | Abrar Ahmed (786961) Safdar Ali (3095124) Ali Raza (3558965) Ibrar Hussain (2365528) Ahmad Bilal (13327050) Norma Latif Fitriyani (20521497) Yeonghyeon Gu (20521500) Muhammad Syafrudin (20521503) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abrar Ahmed (786961) Safdar Ali (3095124) Ali Raza (3558965) Ibrar Hussain (2365528) Ahmad Bilal (13327050) Norma Latif Fitriyani (20521497) Yeonghyeon Gu (20521500) Muhammad Syafrudin (20521503) |
| dc.date.none.fl_str_mv | 2025-01-07T18:29:07Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0315668.g002 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/A_correlation_matrix_analysis_a_hourly_data_b_daily_data_c_weekly_data_/28153797 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Physiology Evolutionary Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified mean absolute error make informed decisions experimental evaluations expressed capturing complex temporal xlink "> energy forecasting energy needs energy prediction focus enhanced accuracy measures cnns discover patterns energy generation resources energy generation companies proposed model outperformed proposed hybrid model forecasting energy consumption term energy consumption lstm identifies long simultaneously predict short energy generation proposed model energy consumption term accuracy sequential patterns simultaneously predict predict short traditional models term memory term dependencies superior performance spatial features short term research proposes rapid increase often failing model capable lstm ), long term existing state every country either short economic development directional lstm development leads costs associated become crucial art models |
| dc.title.none.fl_str_mv | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_5047ea3842cd93ca1ee252dddc4f0c02 |
| identifier_str_mv | 10.1371/journal.pone.0315668.g002 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28153797 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data.Abrar Ahmed (786961)Safdar Ali (3095124)Ali Raza (3558965)Ibrar Hussain (2365528)Ahmad Bilal (13327050)Norma Latif Fitriyani (20521497)Yeonghyeon Gu (20521500)Muhammad Syafrudin (20521503)PhysiologyEvolutionary BiologyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedmean absolute errormake informed decisionsexperimental evaluations expressedcapturing complex temporalxlink "> energyforecasting energy needsenergy prediction focusenhanced accuracy measurescnns discover patternsenergy generation resourcesenergy generation companiesproposed model outperformedproposed hybrid modelforecasting energy consumptionterm energy consumptionlstm identifies longsimultaneously predict shortenergy generationproposed modelenergy consumptionterm accuracysequential patternssimultaneously predictpredict shorttraditional modelsterm memoryterm dependenciessuperior performancespatial featuresshort termresearch proposesrapid increaseoften failingmodel capablelstm ),long termexisting stateevery countryeither shorteconomic developmentdirectional lstmdevelopment leadscosts associatedbecome crucialart models<p>A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data.</p>2025-01-07T18:29:07ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0315668.g002https://figshare.com/articles/figure/A_correlation_matrix_analysis_a_hourly_data_b_daily_data_c_weekly_data_/28153797CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/281537972025-01-07T18:29:07Z |
| spellingShingle | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. Abrar Ahmed (786961) Physiology Evolutionary Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified mean absolute error make informed decisions experimental evaluations expressed capturing complex temporal xlink "> energy forecasting energy needs energy prediction focus enhanced accuracy measures cnns discover patterns energy generation resources energy generation companies proposed model outperformed proposed hybrid model forecasting energy consumption term energy consumption lstm identifies long simultaneously predict short energy generation proposed model energy consumption term accuracy sequential patterns simultaneously predict predict short traditional models term memory term dependencies superior performance spatial features short term research proposes rapid increase often failing model capable lstm ), long term existing state every country either short economic development directional lstm development leads costs associated become crucial art models |
| status_str | publishedVersion |
| title | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. |
| title_full | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. |
| title_fullStr | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. |
| title_full_unstemmed | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. |
| title_short | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. |
| title_sort | A correlation matrix analysis: (a) hourly data, (b) daily data, (c) weekly data. |
| topic | Physiology Evolutionary Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified mean absolute error make informed decisions experimental evaluations expressed capturing complex temporal xlink "> energy forecasting energy needs energy prediction focus enhanced accuracy measures cnns discover patterns energy generation resources energy generation companies proposed model outperformed proposed hybrid model forecasting energy consumption term energy consumption lstm identifies long simultaneously predict short energy generation proposed model energy consumption term accuracy sequential patterns simultaneously predict predict short traditional models term memory term dependencies superior performance spatial features short term research proposes rapid increase often failing model capable lstm ), long term existing state every country either short economic development directional lstm development leads costs associated become crucial art models |