{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:QR2NHKNNBVS2QCWVIRIXX6VROF","short_pith_number":"pith:QR2NHKNN","schema_version":"1.0","canonical_sha256":"8474d3a9ad0d65a80ad544517bfab17171717d3ac5158bd4f2f7e8603e5cb757","source":{"kind":"arxiv","id":"1405.3509","version":1},"attestation_state":"computed","paper":{"title":"Operational risk of a wind farm energy production by Extreme Value Theory and Copulas","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.soc-ph","authors_text":"Filippo Petroni, Flavio Prattico, Guglielmo D'Amico","submitted_at":"2014-04-28T03:56:31Z","abstract_excerpt":"In this paper we use risk management techniques to evaluate the potential effects of those operational risks that affect the energy production of a wind farm. We concentrate our attention on three major risk factors: wind speed uncertainty, wind turbine reliability and interactions of wind turbines due mainly to their placement.\n  As a first contribution, we show that the Weibull distribution, commonly used to fit recorded wind speed data, underestimates rare events. Therefore, in order to achieve a better estimation of the tail of the wind speed distribution, we advance a Generalized Pareto d"},"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":"1405.3509","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2014-04-28T03:56:31Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"efbe46870abb18ec9915b3decacf59f30fc3f3267a024e4eca5ae7e8187dfdc1","abstract_canon_sha256":"c7654281486a64d5ddcdcb542b54edfdba3a6c43e3a725f7f6eff77cf46e4f41"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:51:50.637794Z","signature_b64":"npEW4TNYL1QTzjpFQs3FOCjoQ+OhfawAiCudXX1JnAxWi5b0M6mhu448X3I8elUFbuSuriKvGGF+F+8hRLo0DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8474d3a9ad0d65a80ad544517bfab17171717d3ac5158bd4f2f7e8603e5cb757","last_reissued_at":"2026-05-18T02:51:50.637284Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:51:50.637284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Operational risk of a wind farm energy production by Extreme Value Theory and Copulas","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.soc-ph","authors_text":"Filippo Petroni, Flavio Prattico, Guglielmo D'Amico","submitted_at":"2014-04-28T03:56:31Z","abstract_excerpt":"In this paper we use risk management techniques to evaluate the potential effects of those operational risks that affect the energy production of a wind farm. We concentrate our attention on three major risk factors: wind speed uncertainty, wind turbine reliability and interactions of wind turbines due mainly to their placement.\n  As a first contribution, we show that the Weibull distribution, commonly used to fit recorded wind speed data, underestimates rare events. Therefore, in order to achieve a better estimation of the tail of the wind speed distribution, we advance a Generalized Pareto d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.3509","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":"1405.3509","created_at":"2026-05-18T02:51:50.637370+00:00"},{"alias_kind":"arxiv_version","alias_value":"1405.3509v1","created_at":"2026-05-18T02:51:50.637370+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.3509","created_at":"2026-05-18T02:51:50.637370+00:00"},{"alias_kind":"pith_short_12","alias_value":"QR2NHKNNBVS2","created_at":"2026-05-18T12:28:46.137349+00:00"},{"alias_kind":"pith_short_16","alias_value":"QR2NHKNNBVS2QCWV","created_at":"2026-05-18T12:28:46.137349+00:00"},{"alias_kind":"pith_short_8","alias_value":"QR2NHKNN","created_at":"2026-05-18T12:28:46.137349+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/QR2NHKNNBVS2QCWVIRIXX6VROF","json":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF.json","graph_json":"https://pith.science/api/pith-number/QR2NHKNNBVS2QCWVIRIXX6VROF/graph.json","events_json":"https://pith.science/api/pith-number/QR2NHKNNBVS2QCWVIRIXX6VROF/events.json","paper":"https://pith.science/paper/QR2NHKNN"},"agent_actions":{"view_html":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF","download_json":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF.json","view_paper":"https://pith.science/paper/QR2NHKNN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1405.3509&json=true","fetch_graph":"https://pith.science/api/pith-number/QR2NHKNNBVS2QCWVIRIXX6VROF/graph.json","fetch_events":"https://pith.science/api/pith-number/QR2NHKNNBVS2QCWVIRIXX6VROF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF/action/storage_attestation","attest_author":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF/action/author_attestation","sign_citation":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF/action/citation_signature","submit_replication":"https://pith.science/pith/QR2NHKNNBVS2QCWVIRIXX6VROF/action/replication_record"}},"created_at":"2026-05-18T02:51:50.637370+00:00","updated_at":"2026-05-18T02:51:50.637370+00:00"}