{"data":{"id":"10.6084/m9.figshare.7185491.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.7185491.v1","prefix":"10.6084","suffix":"m9.figshare.7185491.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Resende, Larissa","nameType":"Personal","givenName":"Larissa","familyName":"Resende","affiliation":[],"nameIdentifiers":[]},{"name":"Murilo Soares","affiliation":[],"nameIdentifiers":[]},{"name":"Ferreira, Pedro","nameType":"Personal","givenName":"Pedro","familyName":"Ferreira","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Electric power load in Brazil: view on the long-term forecasting models"}],"publisher":"SciELO journals","container":{},"publicationYear":2018,"subjects":[{"subject":"91099 Manufacturing Engineering not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Electrical engineering, electronic engineering, information engineering","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2018-10-10","dateType":"Created"},{"date":"2018-10-10","dateType":"Updated"},{"date":"2018","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1590/0103-6513.170081","relatedIdentifierType":"DOI"},{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.7185491","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["580995 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Abstract Paper aims This paper aims to discuss how the energy load forecasts used by the System Operator and the main agents of the sector are made, and for what purposes, besides discuss the forecast deviations of the ONS’s and EPE’s models and their consequences and costs to the agents involved. Originality Fill a gap in the Brazilian literature when dealing with the Electric Power Load formally, and the consequences of forecast deviation used by the operator of system. Research method Simulations are carried out to estimate the cost of deviation, in order to assess the impact of the load forecast on the system. Main findings As a result, there is an urgent need to clarify forecasting methods and strategies; to avoid, by the sector agents, justifications that optimistic forecasts are necessary as security measures. Implications for theory and practice There are evidence that small improvements in forecasting models imply significant cost reductions.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYS1pbnN0YW5jZSIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00LjEvbWV0YWRhdGEueHNkIj4KICA8aWRlbnRpZmllciBpZGVudGlmaWVyVHlwZT0iRE9JIj4xMC42MDg0L005LkZJR1NIQVJFLjcxODU0OTEuVjE8L2lkZW50aWZpZXI+CiAgPGNyZWF0b3JzPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5MYXJpc3NhIFJlc2VuZGU8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5NdXJpbG8gU29hcmVzPC9jcmVhdG9yTmFtZT4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWU+UGVkcm8gRmVycmVpcmE8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogIDwvY3JlYXRvcnM+CiAgPHRpdGxlcz4KICAgIDx0aXRsZT5FbGVjdHJpYyBwb3dlciBsb2FkIGluIEJyYXppbDogdmlldyBvbiB0aGUgbG9uZy10ZXJtIGZvcmVjYXN0aW5nIG1vZGVsczwvdGl0bGU+CiAgPC90aXRsZXM+CiAgPGRlc2NyaXB0aW9ucz4KICAgIDxkZXNjcmlwdGlvbiBkZXNjcmlwdGlvblR5cGU9IkFic3RyYWN0Ij4mbHQ7ZGl2Jmd0OyZsdDtwJmd0O0Fic3RyYWN0ICBQYXBlciBhaW1zICBUaGlzIHBhcGVyIGFpbXMgdG8gZGlzY3VzcyBob3cgdGhlIGVuZXJneSBsb2FkIGZvcmVjYXN0cyB1c2VkIGJ5IHRoZSBTeXN0ZW0gT3BlcmF0b3IgYW5kIHRoZSBtYWluIGFnZW50cyBvZiB0aGUgc2VjdG9yIGFyZSBtYWRlLCBhbmQgZm9yIHdoYXQgcHVycG9zZXMsIGJlc2lkZXMgZGlzY3VzcyB0aGUgZm9yZWNhc3QgZGV2aWF0aW9ucyBvZiB0aGUgT05T4oCZcyBhbmQgRVBF4oCZcyBtb2RlbHMgYW5kIHRoZWlyIGNvbnNlcXVlbmNlcyBhbmQgY29zdHMgdG8gdGhlIGFnZW50cyBpbnZvbHZlZC4gIE9yaWdpbmFsaXR5ICBGaWxsIGEgZ2FwIGluIHRoZSBCcmF6aWxpYW4gbGl0ZXJhdHVyZSB3aGVuIGRlYWxpbmcgd2l0aCB0aGUgRWxlY3RyaWMgUG93ZXIgTG9hZCBmb3JtYWxseSwgYW5kIHRoZSBjb25zZXF1ZW5jZXMgb2YgZm9yZWNhc3QgZGV2aWF0aW9uIHVzZWQgYnkgdGhlIG9wZXJhdG9yIG9mIHN5c3RlbS4gIFJlc2VhcmNoIG1ldGhvZCAgU2ltdWxhdGlvbnMgYXJlIGNhcnJpZWQgb3V0IHRvIGVzdGltYXRlIHRoZSBjb3N0IG9mIGRldmlhdGlvbiwgaW4gb3JkZXIgdG8gYXNzZXNzIHRoZSBpbXBhY3Qgb2YgdGhlIGxvYWQgZm9yZWNhc3Qgb24gdGhlIHN5c3RlbS4gIE1haW4gZmluZGluZ3MgIEFzIGEgcmVzdWx0LCB0aGVyZSBpcyBhbiB1cmdlbnQgbmVlZCB0byBjbGFyaWZ5IGZvcmVjYXN0aW5nIG1ldGhvZHMgYW5kIHN0cmF0ZWdpZXM7IHRvIGF2b2lkLCBieSB0aGUgc2VjdG9yIGFnZW50cywganVzdGlmaWNhdGlvbnMgdGhhdCBvcHRpbWlzdGljIGZvcmVjYXN0cyBhcmUgbmVjZXNzYXJ5IGFzIHNlY3VyaXR5IG1lYXN1cmVzLiAgSW1wbGljYXRpb25zIGZvciB0aGVvcnkgYW5kIHByYWN0aWNlICBUaGVyZSBhcmUgZXZpZGVuY2UgdGhhdCBzbWFsbCBpbXByb3ZlbWVudHMgaW4gZm9yZWNhc3RpbmcgbW9kZWxzIGltcGx5IHNpZ25pZmljYW50IGNvc3QgcmVkdWN0aW9ucy4mbHQ7L3AmZ3Q7Jmx0Oy9kaXYmZ3Q7PC9kZXNjcmlwdGlvbj4KICA8L2Rlc2NyaXB0aW9ucz4KICA8c3ViamVjdHM+CiAgICA8c3ViamVjdCBzY2hlbWVVUkk9Imh0dHA6Ly93d3cuYWJzLmdvdi5hdS9hdXNzdGF0cy9hYnNALm5zZi8wLzZCQjQyN0FCOTY5NkMyMjVDQTI1NzQxODAwMDQ0NjNFIiBzdWJqZWN0U2NoZW1lPSJGT1IiPjkxMDk5IE1hbnVmYWN0dXJpbmcgRW5naW5lZXJpbmcgbm90IGVsc2V3aGVyZSBjbGFzc2lmaWVkPC9zdWJqZWN0PgogIDwvc3ViamVjdHM+CiAgPHB1Ymxpc2hlcj5TY2lFTE8gam91cm5hbHM8L3B1Ymxpc2hlcj4KICA8cHVibGljYXRpb25ZZWFyPjIwMTg8L3B1YmxpY2F0aW9uWWVhcj4KICA8ZGF0ZXM+CiAgICA8ZGF0ZSBkYXRlVHlwZT0iQ3JlYXRlZCI+MjAxOC0xMC0xMDwvZGF0ZT4KICAgIDxkYXRlIGRhdGVUeXBlPSJVcGRhdGVkIj4yMDE4LTEwLTEwPC9kYXRlPgogIDwvZGF0ZXM+CiAgPHJlc291cmNlVHlwZSByZXNvdXJjZVR5cGVHZW5lcmFsPSJEYXRhc2V0Ij5EYXRhc2V0PC9yZXNvdXJjZVR5cGU+CiAgPHNpemVzPgogICAgPHNpemU+NTgwOTk1IEJ5dGVzPC9zaXplPgogIDwvc2l6ZXM+CiAgPHJlbGF0ZWRJZGVudGlmaWVycz4KICAgIDxyZWxhdGVkSWRlbnRpZmllciByZWxhdGVkSWRlbnRpZmllclR5cGU9IkRPSSIgcmVsYXRpb25UeXBlPSJJc1N1cHBsZW1lbnRUbyI+MTAuMTU5MC8wMTAzLTY1MTMuMTcwMDgxPC9yZWxhdGVkSWRlbnRpZmllcj4KICAgIDxyZWxhdGVkSWRlbnRpZmllciByZWxhdGVkSWRlbnRpZmllclR5cGU9IkRPSSIgcmVsYXRpb25UeXBlPSJJc0lkZW50aWNhbFRvIj4xMC42MDg0L205LmZpZ3NoYXJlLjcxODU0OTE8L3JlbGF0ZWRJZGVudGlmaWVyPgogIDwvcmVsYXRlZElkZW50aWZpZXJzPgogIDxyaWdodHNMaXN0PgogICAgPHJpZ2h0cyByaWdodHNVUkk9Imh0dHBzOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS80LjAvIj5DQyBCWSA0LjA8L3JpZ2h0cz4KICA8L3JpZ2h0c0xpc3Q+CjwvcmVzb3VyY2U+","url":"https://scielo.figshare.com/articles/Electric_power_load_in_Brazil_view_on_the_long-term_forecasting_models/7185491/1","contentUrl":null,"metadataVersion":2,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":1,"viewsOverTime":[{"yearMonth":"2026-05","total":1}],"downloadCount":0,"downloadsOverTime":[{"yearMonth":"2026-05","total":0}],"referenceCount":1,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2018-10-10T02:43:21.000Z","registered":"2018-10-10T02:43:32.000Z","published":"2018","updated":"2020-08-28T07:59:50.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.7185491.v1","type":"media"}},"references":{"data":[{"id":"10.1590/0103-6513.170081","type":"dois"}]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}