{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:LFOB5P77CM32OBM23XAWJ5ORCA","short_pith_number":"pith:LFOB5P77","schema_version":"1.0","canonical_sha256":"595c1ebfff1337a7059addc164f5d110009b7025b83afe206171ac90eec37346","source":{"kind":"arxiv","id":"1704.07606","version":1},"attestation_state":"computed","paper":{"title":"Benefits of spatio-temporal modelling for short term wind power forecasting at both individual and aggregated levels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Amanda Lenzi, Ingelin Steinsland, Pierre Pinson","submitted_at":"2017-04-25T09:36:52Z","abstract_excerpt":"The share of wind energy in total installed power capacity has grown rapidly in recent years around the world. Producing accurate and reliable forecasts of wind power production, together with a quantification of the uncertainty, is essential to optimally integrate wind energy into power systems. We build spatio-temporal models for wind power generation and obtain full probabilistic forecasts from 15 minutes to 5 hours ahead. Detailed analysis of the forecast performances on the individual wind farms and aggregated wind power are provided. We show that it is possible to improve the results of "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1704.07606","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-04-25T09:36:52Z","cross_cats_sorted":[],"title_canon_sha256":"b4a13b53450349793827bb428815f0210615a2cf81ac04436d556542f12b046c","abstract_canon_sha256":"c4b1b09a78d21702b68a01e53f8a52b09ed8993cb6d606cb42bd022af861f92b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:37.519696Z","signature_b64":"NJgZfdlL/i8CFlqIyT/BUd5BPO0v2EWbcgJRyWNpJygR4BqJpT/TFH2u2kipodrmutwK6dOn7VwHk6l+BNJZCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"595c1ebfff1337a7059addc164f5d110009b7025b83afe206171ac90eec37346","last_reissued_at":"2026-05-18T00:45:37.518958Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:37.518958Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Benefits of spatio-temporal modelling for short term wind power forecasting at both individual and aggregated levels","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Amanda Lenzi, Ingelin Steinsland, Pierre Pinson","submitted_at":"2017-04-25T09:36:52Z","abstract_excerpt":"The share of wind energy in total installed power capacity has grown rapidly in recent years around the world. Producing accurate and reliable forecasts of wind power production, together with a quantification of the uncertainty, is essential to optimally integrate wind energy into power systems. We build spatio-temporal models for wind power generation and obtain full probabilistic forecasts from 15 minutes to 5 hours ahead. Detailed analysis of the forecast performances on the individual wind farms and aggregated wind power are provided. We show that it is possible to improve the results of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.07606","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1704.07606","created_at":"2026-05-18T00:45:37.519178+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.07606v1","created_at":"2026-05-18T00:45:37.519178+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.07606","created_at":"2026-05-18T00:45:37.519178+00:00"},{"alias_kind":"pith_short_12","alias_value":"LFOB5P77CM32","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_16","alias_value":"LFOB5P77CM32OBM2","created_at":"2026-05-18T12:31:28.150371+00:00"},{"alias_kind":"pith_short_8","alias_value":"LFOB5P77","created_at":"2026-05-18T12:31:28.150371+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA","json":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA.json","graph_json":"https://pith.science/api/pith-number/LFOB5P77CM32OBM23XAWJ5ORCA/graph.json","events_json":"https://pith.science/api/pith-number/LFOB5P77CM32OBM23XAWJ5ORCA/events.json","paper":"https://pith.science/paper/LFOB5P77"},"agent_actions":{"view_html":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA","download_json":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA.json","view_paper":"https://pith.science/paper/LFOB5P77","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.07606&json=true","fetch_graph":"https://pith.science/api/pith-number/LFOB5P77CM32OBM23XAWJ5ORCA/graph.json","fetch_events":"https://pith.science/api/pith-number/LFOB5P77CM32OBM23XAWJ5ORCA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA/action/storage_attestation","attest_author":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA/action/author_attestation","sign_citation":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA/action/citation_signature","submit_replication":"https://pith.science/pith/LFOB5P77CM32OBM23XAWJ5ORCA/action/replication_record"}},"created_at":"2026-05-18T00:45:37.519178+00:00","updated_at":"2026-05-18T00:45:37.519178+00:00"}